Publications

Publications

Publications

2017

Baldassarre, L., Pontil, M., Mourão-Miranda, J. (2017). Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain Decoding.. Front Neurosci, 11 62. doi:10.3389/fnins.2017.00062
Bohné, J., Ying, Y., Gentric, S., Pontil, M. (2017). Learning local metrics from pairwise similarity data. Pattern Recognition, doi:10.1016/j.patcog.2017.04.002
Cinelli, M., Sun, Y., Best, K., Heather, J.M., Reich-Zeliger, S., Shifrut, E., ...Chain, B. (2017). Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.. Bioinformatics, doi:10.1093/bioinformatics/btw771
Cousins, S., Shawe-Taylor, J. (2017). High-probability minimax probability machines. Machine Learning, 1-24. doi:10.1007/s10994-016-5616-2
De Bona, G., Hunter, A. (2017). Localising iceberg inconsistencies. Artificial Intelligence, 246 118-151. doi:10.1016/j.artint.2017.02.005
Hadoux, E., Hunter, A. (2017). Strategic Sequences of Arguments for Persuasion Using Decision Trees.
Hadoux, E., Hunter, A. (2017). Computationally Viable Handling of Beliefs in Arguments for Persuasion.
Hunter, A., Potyka, N. (2017). Updating probabilistic epistemic states in persuasion dialogues.
Johnston, M., Michie, S., West, R., Thomas, J., Mac Aonghusa, P., Shawe-Taylor, J., Kelly, M. (2017). THE HUMAN BEHAVIOUR CHANGE PROJECT: DEVELOPMENT OF AN AUTOMATED SYSTEM TO SYNTHESISE EVALUATIONS OF BEHAVIOUR CHANGE INTERVENTIONS TO FURTHER THE SCIENCE AND APPLICATION OF BEHAVIOUR CHANGE.
Law, T., Shawe-Taylor, J. (2017). Practical Bayesian support vector regression for financial time series prediction and market condition change detection. Quantitative Finance, 1-14. doi:10.1080/14697688.2016.1267868
Livan, G., Caccioli, F., Aste, T. (2017). Excess reciprocity distorts reputation in online social networks.. Sci Rep, 7 (1), 3551. doi:10.1038/s41598-017-03481-7
Malki, K., Tosto, M.G., Mourino-Talın, H., Rodrıguez-Lorenzo, S., Pain, O., Jumhaboy, I., ...Malykh, A. (2017). Highly Polygenic Architecture of Antidepressant Treatment Response: Comparative Analysis of SSRI and NRI Treatment in an Animal Modelof Depression. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, doi:10.1002/ajmg.b.32494
Massara, G.P., Matteo, T.D., Aste, T. (2017). Network Filtering for Big Data: Triangulated Maximally Filtered Graph. Journal of Complex Networks, 5 (2), 161-178. doi:10.1093/comnet/cnw015
Pavisic, I.M., Firth, N.F., Parsons, S., Martinez Rego, D., Shakespeare, T.J., Yong, K.X.X., ...Macpherson, K. (2017). Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions. Frontiers in Neurology,
Peng, P., Tian, Y., Xiang, T., Wang, Y., Pontil, M., Huang, T. (2017). Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2017.2723882
Shimaoka, S., Stenetorp, P., Inui, K., Riedel, S. (2017). Neural architectures for fine-grained entity type classification.
Sun, Y., Best, K., Cinelli, M., Heather, J.M., Reich-Zeliger, S., Shifrut, E., ...Chain, B. (2017). Specificity, Privacy, and Degeneracy in the CD4 T Cell Receptor Repertoire Following Immunization.. Frontiers in Immunology, 8 430. doi:10.3389/fimmu.2017.00430

2016

Aste, T. (2016). To what extent does immigration affect inequality?. Physica A: Statistical Mechanics and its Applications, doi:10.1016/j.physa.2016.06.074
Aste, T., Caccioli, F., Livan, G. (2016). Scalability and Egalitarianism in peer-to-peer networks. In Aste, T., Tasca, P., Pelizzon, L., Penroy, N. (Eds.), Banking Beyond Banks and Money A Guide to Banking Services in the Twenty-First Century. Springer.
Aste, T., Pietronero, L., Scarfone, A.M., Scala, A. (2016). Complex, inter-networked economic and social systems. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 225 (10), 1875-1877. doi:10.1140/epjst/e2016-60238-0
Barfuss, W., Massara, G.P., Di Matteo, T., Aste, T. (2016). Parsimonious modeling with information filtering networks. PHYSICAL REVIEW E, 94 (6), doi:10.1103/PhysRevE.94.062306
Barreto, A., Munos, R., Schaul, T., Silver, D. (2016). Successor features for transfer in reinforcement learning. arXiv preprint arXiv:1606.05312,
Bohné, J., Colin, S., Gentric, S., Pontil, M. (2016). Similarity function learning with data uncertainty.
Borsa, D., Graepel, T., Shawe-Taylor, J. (2016). Learning Shared Representations in Multi-task Reinforcement Learning.. CoRR, abs/1603.02041
Buonocore, R.J., Musmeci, N., Aste, T., Di Matteo, T. (2016). Two different flavours of complexity in financial data. Two different flavours of complexity in financial data Contribution to journal › Article, doi:10.1140/epjst/e2016-60125-2
Chain, B., Best, K., Cinelli, M., Friedman, N., Mark, M., Reich-Zeliger, S., ...Shifrut, E. (2016). Characterisation of the T cell receptor repertoire following immunisation.
Cheng, T., B.o.w.e.r.s., L.o.n.g.l.e.y., S.h.a.w.e.-.T.a.y.l.o.r., Trevor, A., D.a.v.i.e.s., ...Shen, J. (2016). CPC: Crime, Policing and Citizenship - Intelligent Policing and Big Data. UCL SpaceTimeLab .
Clack, C.D., Bakshi, V.A., Braine, L. (2016). Smart Contract Templates: foundations, design landscape and research directions. https://arxiv.org/pdf/1608.00771: arXiv.
De Matos Monteiro, J., Rao, A., Ashburner, J., shawe-taylor, J., mourao-miranda, J. (2016). Leveraging Clinical Data to Enhance Localization of Brain Atrophy.
Donini, M., Martinez-Rego, D., Goodson, M., Shawe-Taylor, J., Pontil, M. (2016). Distributed variance regularized Multitask Learning.
Donini, M., Monteiro, J.A.M., Pontil, M., Shawe-Taylor, J., Mourao-Miranda, J. (2016). A multimodal multiple kernel learning approach to Alzheimer’s disease detection.
Eisner, B., Rocktäschel, T., Augenstein, I., Bosnjak, M., Riedel, S. (2016). emoji2vec: Learning Emoji Representations from their Description. Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 48-54.
Furmston, T., Lever, G., Barber, D. (2016). Approximate Newton Methods for Policy Search in Markov Decision Processes. JOURNAL OF MACHINE LEARNING RESEARCH, 17
Heess, N., Wayne, G., Tassa, Y., Lillicrap, T., Riedmiller, M., Silver, D. (2016). Learning and Transfer of Modulated Locomotor Controllers. .
Heinrich, J., Silver, D. (2016). Deep Reinforcement Learning from Self-Play in Imperfect-Information Games. arXiv preprint arXiv:1603.01121,
Herbster, M.J., Pasteris, S., Pontil, M. (2016). Mistake Bounds for Binary Matrix Completion.
Hunter, A. (2016). Two dimensional uncertainty in persuadee modelling in argumentation.
Hunter, A. (2016). Persuasion Dialogues via Restricted Interfaces Using Probabilistic Argumentation.
Hunter, A. (2016). Computational Persuasion with Applications in Behaviour Change.
Hunter, A., Thimm, M. (2016). On partial Information and contradictions in probabilistic abstract argumentation.
Hunter, A., Thimm, M. (2016). Optimization of dialectical outcomes in dialogical argumentation. International Journal of Approximate Reasoning,
Hunter, A., Wyner, A., Van Engers, T. (2016). Working on the Argument Pipeline: Through Flow Issues between Natural Language Argument, Instantiated Arguments, and Argumentation Frameworks. Argument & Computation, doi:10.3233/AAC-160002
Kolchyna, O., Souza, T.T.P., Treleaven, P., Aste, T.(n.d.).Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination. Handbook of Sentiment Analysis in Finance. Mitra, G. and Yu, X. (Eds.). (2016). ISBN 1910571571,
Li, Z., Carroll, J. (2016). An analytical model of the influence of cone sensitivity and numerosity on the Rayleigh match. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 33 (3), A228-A237. doi:10.1364/JOSAA.33.00A228
Malki, K., Koritskaya, E., Harris, F., Bryson, K., Herbster, M., Tosto, M.G. (2016). Epigenetic differences in monozygotic twins discordant for major depressive disorder. TRANSLATIONAL PSYCHIATRY, 6 doi:10.1038/tp.2016.101
Maurer, A., Pontil, M., Romera-Paredes, B. (2016). The Benefit of Multitask Representation Learning. JOURNAL OF MACHINE LEARNING RESEARCH, 17
May, K.A., Zhaoping, L. (2016). Efficient Coding Theory Predicts a Tilt Aftereffect from Viewing Untilted Patterns. CURRENT BIOLOGY, 26 (12), 1571-1576. doi:10.1016/j.cub.2016.04.037
McDonald, A.M., Pontil, M., Stamos, D. (2016). New Perspectives on k-Support and Cluster Norms. Journal of Machine Learning Research, 17
Mnih, V., Badia, A.P., Mirza, M., Graves, A., Lillicrap, T.P., Harley, T., ...Kavukcuoglu, K. (2016). Asynchronous methods for deep reinforcement learning. arXiv preprint arXiv:1602.01783,
Monteiro, J.M., Rao, A., Shawe-Taylor, J., Mourão-Miranda, J. (2016). A multiple hold-out framework for Sparse Partial Least Squares.. Journal of neuroscience methods,
Musmeci, N., Aste, T., Di Matteo, T. (2016). Interplay between past market correlation structure changes and future volatility outbursts. Scientific Reports, 6 doi:10.1038/srep36320
Nava, N., Di Matteo, T., Aste, T. (2016). Time-dependent scaling patterns in high frequency financial data. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 225 (10), 1997-2016. doi:10.1140/epjst/e2015-50328-y
O'Brien, J.R., Serra, M., Hudson-Smith, A., Psarra, S., Hunter, A., Austwick, M.Z. (2016). Ensuring VGI Credibility in Urban-Community Data Generation: A Methodological Research Design. Urban Planning, doi:10.17645/up.v1i2.620
Parasca, I.E., Rauter, A.L., Roper, J., Rusinov, A., b.o.u.c.h.a.r.d., R.i.e.d.e.l., Saito Stenetorp, P.L.E.P.S. (2016). Defining Words with Words: Beyond the Distributional Hypothesis.
Peng, P., Xiang, T., Wang, Y., Pontil, M., Gong, S., Huang, T., Tian, Y. (2016). Unsupervised cross-dataset transfer learning for person re-identification.
Pontil, M., McDonald, A., Stamos, D. (2016). Fitting Spectral Decay with the k-Support Norm.
Shawe-Taylor, J.S., Lever, G., Stafford, R., Szepesvari, C. (2016). Compressed Conditional Mean Embeddings for Model-Based Reinforcement Learning.
Shimaoka, S., Stenetorp, P., Inui, K., Riedel, S. (2016). An Attentive Neural Architecture for Fine-grained Entity Type Classification.
Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Van Den Driessche, G., ...Lanctot, M. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529 484-489. doi:10.1038/nature16961
Singh, S., Riedel, S. (2016). Creating Interactive and Visual Educational Resources for AI..
Souza, T.T.P., Kolchyna, O., Treleaven, P.C., Aste, T.(n.d.).Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry. In: Handbook of Sentiment Analysis in Finance. Mitra, G. and Yu, X. (Eds.). (2016). ISBN 1910571571., 2016,
Souza, T.T.P., Pappalardo, G., Kang, S.M., Caldarelli, G., Aste, T. (2016). Multiplex Structure of Social Media and Financial Networks.
Spithourakis, G., Augenstein, I., Riedel, S. (2016). Numerically Grounded Language Models for Semantic Error Correction. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 987-992.
Sun, S., Shawe-Taylor, J., Mao, L. (2016). PAC-Bayes analysis of multi-view learning. Information Fusion, 35 117-131. doi:10.1016/j.inffus.2016.09.008
Tasca, P., Aste, T., Pelizzon, L., Perony, N. (2016). Banking Beyond Banks and Money A Guide to Banking Services in the Twenty-First Century. Springer.
Trouillon, T., Welbl, J., Riedel, S., Ciaussier, E., Bouchard, G. (2016). Complex embeddings for simple link prediction. 33rd International Conference on Machine Learning, ICML 2016, 5 3021-3032.
van Hasselt, H., Guez, A., Hessel, M., Mnih, V., Silver, D. (2016). Learning values across many orders of magnitude. arXiv preprint arXiv:1602.07714,
Zhaoping, L. (2016). Olfactory object recognition, segmentation, adaptation, target seeking, and discrimination by the network of the olfactory bulb and cortex: computational model and experimental data. Current Opinion in Behavioral Sciences, 11 30-39. doi:10.1016/j.cobeha.2016.03.009
Zhaoping, L. (2016). Brains studying brains: look before you think in vision. Physical Biology, 13 (3),
Zhaoping, L. (2016). From the optic tectum to the primary visual cortex: migration through evolution of the saliency map for exogenous attentional guidance. Current Opinion in Neurobiology,

2015

Amgoud, L., Besnard, P., Hunter, A. (2015). Representing and Reasoning About Arguments Mined from Texts and Dialogues.
Amgoud, L., Besnard, P., Hunter, A. (2015). Logical Representation and Analysis for RC-Arguments.
Barber, D., Chiappa, S. (2015). Inference and learning in latent Markov models. In Advanced State Space Methods for Neural and Clinical Data. (pp. 14-50). .
Best, K., Oakes, T., Heather, J.M., Shawe-Taylor, J., Chain, B. (2015). Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding. SCIENTIFIC REPORTS, 5 doi:10.1038/srep14629
Black, E., Hunter, A. (2015). Reasons and options for updating an opponent model in persuasion dialogues.
Bouchard, G., Naradowsky, J., Riedel, S., Rocktäschel, T., Vlachos, A. (2015). Matrix and Tensor Factorization Methods for Natural Language Processing..
Buonocore, R.J., Aste, T., Di Matteo, T. (2015). Measuring multiscaling in financial time-series. CHAOS SOLITONS & FRACTALS, 88 38-47. doi:10.1016/j.chaos.2015.11.022
Carmona, I.S., Riedel, S. (2015). Extracting interpretable models from matrix factorization models.
Ciosek, K., Silver, D. (2015). Value Iteration with Options and State Aggregation. arXiv preprint arXiv:1501.03959,
Darrell, T., Kloft, M., Pontil, M., Rätsch, G., Rodner, E. (2015). Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152).. Dagstuhl Reports, 5 18-55. doi:10.4230/DagRep.5.4.18
Goodfellow, I.J., Erhan, D., Luc Carrier, P., Courville, A., Mirza, M., Hamner, B., ...Lee, D.H. (2015). Challenges in representation learning: A report on three machine learning contests. Neural Networks, 64 59-63. doi:10.1016/j.neunet.2014.09.005
Grant, J., Hunter, A. (2015). Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty.
Grant, J., Hunter, A. (2015). Analysing inconsistent information using distance-based measures. International Journal of Approximate Reasoning, doi:10.1016/j.ijar.2016.04.004
Hadoux, E., Beynier, A., Maudet, N., Weng, P., Hunter, A. (2015). Optimization of probabilistic argumentation with Markov decision models.
Heess, N., Hunt, J.J., Lillicrap, T.P., Silver, D. (2015). Memory-based control with recurrent neural networks. arXiv preprint arXiv:1512.04455,
Heess, N., Wayne, G., Silver, D., Lillicrap, T., Erez, T., Tassa, Y. (2015). Learning continuous control policies by stochastic value gradients.
Heinrich, J., Lanctot, M., Silver, D. (2015). Fictitious self-play in extensive-form games.
Heinrich, J., Silver, D. (2015). Smooth UCT search in computer poker.
Herbster, M.J., Pasteris, S., Ghosh, S. (2015). Online Prediction at the Limit of Zero Temperature.
Hirsch, R., Egrot, R. (2015). Meet-completions and representations of ordered domain algebras. The Journal of Symbolic Logic, doi:10.1016/j.jal.2013.04.002
Hirsch, R., Jackson, M., Mikulas, S. (2015). The algebra of functions with antidomain and range. JOURNAL OF PURE AND APPLIED ALGEBRA, 220 (6), 2214-2239. doi:10.1016/j.jpaa.2015.11.003
Hunter, A. (2015). Modelling the persuadee in asymmetric argumentation dialogues for persuasion.
Khoury, P., Gorse, D. (2015). Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisation.
Khoury, P., Gorse, D. (2015). Investing in Emerging Markets Using Neural Networks and Particle Swarm Optimisation.
Kolchyna, O., Souza, T.T.P., Treleaven, P.C., Aste, T. (2015). Twitter Sentiment Analysis.. CoRR, abs/1507.00955
Lehtinen, S., Lees, J., Baehler, J., Shawe-Taylor, J., Orengo, C. (2015). Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression. PLOS ONE, 10 (8), doi:10.1371/journal.pone.0134668
Lillicrap, T.P., Hunt, J.J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., ...Wierstra, D. (2015). Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971,
Lum, S., Bountziouka, V., Sonnappa, S., Wade, A., Cole, T.J., Harding, S., ...Bonner, R. (2015). Lung function in children in relation to ethnicity, physique and socio-economic factors. European Respiratory Journal, doi:10.1183/13993003.00415-2015
Mangano, G.R., Oliveri, M., Turriziani, P., Smirni, D., Zhaoping, L., Cipolotti, L. (2015). Repetitive transcranial magnetic stimulation over the left parietal cortex facilitates visual search for a letter among its mirror images. NEUROPSYCHOLOGIA, 70 196-205. doi:10.1016/j.neuropsychologia.2015.03.002
Maurer, A., Pontil, M., Baldassarre, L. (2015). Lower bounds for sparse coding. In Measures of Complexity: Festschrift for Alexey Chervonenkis. (pp. 359-370). .
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A.A., Veness, J., Bellemare, M.G., ...Ostrovski, G. (2015). Human-level control through deep reinforcement learning. Nature, 518 529-533.
Monteiro, J.M., Rao, A., Ashburner, J., Shawe-Taylor, J., Mourao-Miranda, J. (2015). Multivariate Effect Ranking via Adaptive Sparse PLS.
Musmeci, N., Aste, T., Di Matteo, T. (2015). Correction: Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods. PLoS ONE, 10 (4), doi:10.1371/journal.pone.0126998
Musmeci, N., Aste, T., Matteo, T.D. (2015). Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods. PLOS ONE, 10 (3), doi:10.1371/journal.pone.0116201
Nair, A., Srinivasan, P., Blackwell, S., Alcicek, C., Fearon, R., De Maria, A., ...Petersen, S. (2015). Massively parallel methods for deep reinforcement learning. arXiv preprint arXiv:1507.04296,
Nangalia, V., Laing, C., Wolff, T., Mythen, M., Barber, D., Connell, A., ...Montgomery, H. (2015). UREA TO CREATININE RATIO AND ITS CHANGE IS A POWERFUL AND MODIFIABLE PREDICTOR OF AKI AND NON-AKI MORTALITY IN EMERGENCY HOSPITAL ADMISSIONS.
Nava, N., Di Matteo, T., Aste, T. (2015). Anomalous volatility scaling in high frequency financial data. Physica A: Statistical Mechanics and its Applications, 447 434-445. doi:10.1016/j.physa.2015.12.022
Palmer, S., Gorse, D., Muk-Pavic, E. (2015). Neural Networks and Particle Swarm Optimization for Function Approximation in Tri-SWACH Hull Design. ACM SIG Proceedings, (EANN '15 Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)), doi:10.1145/2797143.2797168
Patkos, T., Flouris, G., Papadakos, P., Bikakis, A., Casanovas, P., Gonzalez-Conejero, J., ...Ioannidis, G. (2015). Privacy-by-Norms Privacy Expectations in Online Interactions.
Riedel, S., Singh, S., Bouchard, G., Rocktäschel, T., Sanchez, I. (2015). Towards two-way interaction with reading machines.
Rocktäschel, T., Singh, S., Riedel, S. (2015). Injecting logical background knowledge into embeddings for relation extraction.
Rosa, M.J., Portugal, L., Hahn, T., Fallgatter, A.J., Garrido, M.I., Shawe-Taylor, J., Mourao-Miranda, J. (2015). Sparse network-based models for patient classification using fMRI.. NEUROIMAGE, 105 493-506. doi:10.1016/j.neuroimage.2014.11.021
Saeidi, M., Riedel, S., Capra, L. (2015). Lower dimensional representations of city neighbourhoods.
Sánchez, I., Rocktäschel, T., Riedel, S., Singh, S. (2015). Towards extracting faithful and descriptive representations of latent variable models.
Schaul, T., Horgan, D., Gregor, K., Silver, D. (2015). Universal value function approximators.
Schaul, T., Quan, J., Antonoglou, I., Silver, D. (2015). Prioritized experience replay. arXiv preprint arXiv:1511.05952,
Sethi, M., Treleaven, P. (2015). A Graphical Model Framework for Stock Portfolio Construction with Application to a Neural Network Based Trading Strategy.
Shawe-Taylor, J., Zlicar, B. (2015). Novelty Detection with One-Class Support Vector Machines.
Singh, S., Rocktäschel, T., Hewitt, L., Naradowsky, J., Riedel, S. (2015). WOLFE: An NLP-friendly Declarative Machine Learning Stack..
Staines, J., Barber, D. (2015). Topic factor models: Uncovering thematic structure in equity market data. INTELLIGENT DATA ANALYSIS, 19 S69-S85. doi:10.3233/IDA-150770
Stamos, D., Martelli, S., Nabi, M., McDonald, A., Murino, V., Pontil, M. (2015). Learning with Dataset Bias in Latent Subcategory Models.
Van Hasselt, H., Guez, A., Silver, D. (2015). Deep reinforcement learning with double Q-learning. CoRR, abs/1509.06461,
Wang, F., Chen, M., Yan, Y., Zhaoping, L., Li, W. (2015). Modulation of Neuronal Responses by Exogenous Attention in Macaque Primary Visual Cortex. JOURNAL OF NEUROSCIENCE, 35 (39), 13419-13429. doi:10.1523/JNEUROSCI.0527-15.2015
Weber, T., Heess, N., Eslami, A., Schulman, J., Wingate, D., Silver, D. (2015). Reinforced Variational Inference. NIPS ABIW 2015,
Wells, J.C.K., Stocks, J., Bonner, R., Raywood, E., Legg, S., Lee, S., ...Lum, S. (2015). Acceptability, Precision and Accuracy of 3D Photonic Scanning for Measurement of Body Shape in a Multi-Ethnic Sample of Children Aged 5-11 Years: The SLIC Study. PLOS ONE, 10 (4), doi:10.1371/journal.pone.0124193
Williams, M., Liu, Z.W., Hunter, A., Macbeth, F. (2015). An updated systematic review of lung chemo-radiotherapy using a new evidence aggregation method. Lung Cancer, 87 (3), 290-295. doi:10.1016/j.lungcan.2014.12.004
Zhaoping, L. (2015). An analytical understanding of Rayleigh matches in normal and abnormal colour vision. PERCEPTION, 44 (4), 468.
Zhaoping, L., Zhe, L. (2015). Primary Visual Cortex as a Saliency Map: A Parameter-Free Prediction and Its Test by Behavioral Data. PLOS COMPUTATIONAL BIOLOGY, 11 (10), doi:10.1371/journal.pcbi.1004375

2014

Belanger, D., Passos, A., Riedel, S., McCallum, A. (2014). Message Passing for Soft Constraint Dual Decomposition.
Besnard, P., Garcia, A., Hunter, A., Modgil, S., Prakken, H., Simari, G., Toni, F. (2014). Introduction to structured argumentation. Argument and Computation, 5 (1), 1-4. doi:10.1080/19462166.2013.869764
Besnard, P., Hunter, A. (2014). Constructing argument graphs with deductive arguments: a tutorial. Argument and Computation, 5 (1), 5-30. doi:10.1080/19462166.2013.869765
Best, K., Matjeka, T., Heather, J., Thomas, N., Shawe-Taylor, J., Chain, B. (2014). Barcoding is essential for accurate single molecule quantification by PCR and high-throughput sequencing. IMMUNOLOGY, 143 64-65.
Birch, A., Aste, T. (2014). Systemic Losses Due to Counter Party Risk in a Stylized Banking System. JOURNAL OF STATISTICAL PHYSICS, 156 (5), 998-1024. doi:10.1007/s10955-014-1040-9
Birch, A., Aste, T. (2014). Systemic Losses Due to Counterparty Risk in a Stylized Banking System. Journal of Statistical Physics, 156 (5), 998-1024. doi:10.1007/s10955-014-1040-9
Bohné, J., Ying, Y., Gentric, S., Pontil, M. (2014). Large margin local metric learning.
Gramatica, R., Matteo, T.D., Giorgetti, S., Barbiani, M., Bevec, D., Aste, T. (2014). Graph theory enables drug repurposing. How a mathematical model can drive the discovery of hidden Mechanisms of Action. PLOS ONE, 9 (1), doi:10.1371/journal.pone.0084912
Guez, A., Heess, N., Silver, D., Dayan, P. (2014). Bayes-adaptive simulation-based search with value function approximation.
Guez, A., Silver, D., Dayan, P. (2014). Better optimism by Bayes: Adaptive planning with rich models. arXiv preprint arXiv:1402.1958,
Hardoon, D.R., Hussain, Z., Shawe-Taylor, J. (2014). Model Selection. 131-143. doi:10.1016/B978-0-12-398537-8.00007-9
Heinrich, J., Silver, D. (2014). Self-play monte-carlo tree search in computer poker.
hirsch, R., sayed ahmed, T. (2014). The neat embedding problem for algebras other than cylindric algebras and for infinite dimensions. The Journal of Symbolic Logic, 79 (1), 208-222.
Hunter, A. (2014). Opportunities for Argument-Centric Persuasion in Behaviour Change.
Hunter, A. (2014). Probabilistic Strategies in Dialogical Argumentation.
Hunter, A., Parsons, S., Wooldridge, M. (2014). Measuring Inconsistency in Multi-Agent Systems. KI - Künstliche Intelligenz, 28 (3), 169-178. doi:10.1007/s13218-014-0306-3
Hunter, A., Thimm, M. (2014). Probabilistic argumentation with epistemic extensions. CEUR Workshop Proceedings, 1212
Hunter, A., Thimm, M. (2014). Probabilistic Argumentation with Incomplete Information. 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014), 263 1033-+. doi:10.3233/978-1-61499-419-0-1033
Hunter, A., Thimm, M. (2014). Probabilistic Argument Graphs for Argumentation Lotteries.
James, H., John, S.T., Tao, C., Jiaqiu, W. (2014). Local online kernel ridge regression for forecasting of urban travel times. Transportation Research Part C: Emerging Technologies, 46 151-178. doi:10.1016/j.trc.2014.05.015
Jiang, A., Aste, T., Dasgupta, P., Althoefer, K., Nanayakkara, T. (2014). Granular jamming with hydraulic control. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2013, VOL 6A,
Kennett, M.J., Wallis, G., Zhaoping, L. (2014). The schematic angry face effect: threat detection or V1 processes?.
Maddison, C.J., Huang, A., Sutskever, I., Silver, D. (2014). Move evaluation in go using deep convolutional neural networks. arXiv preprint arXiv:1412.6564,
Mangano, G.R., Oliveri, M., Turriziani, P., Smirni, D., Zhaoping, L., Cipolotti, L. (2014). Impairments in top down attentional processes in right parietal patients: Paradoxical functional facilitation in visual search. VISION RESEARCH, 97 74-82. doi:10.1016/j.visres.2014.02.002
Marchand, M., Su, H., Morvant, E., Rousu, J., Shawe-Taylor, J. (2014). Multilabel structured output learning with random spanning trees of max-margin Markov networks.
Maurer, A., Pontil, M., Romera-Paredes, B. (2014). An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning..
Maurer, A., Pontil, M., Romera-Paredes, B. (2014). An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning. Journal of Machine Learning Research, 35 440-460.
McDonald, A.M., Pontil, M., Stamos, D. (2014). Spectral k-support norm regularization.
Montoya-Martinez, J., Artes-Rodriguez, A., Pontil, M. (2014). Structured sparse-low rank matrix factorization for the EEG inverse problem.
Montoya-Martínez, J., Artés-Rodríguez, A., Pontil, M., Hansen, L.K. (2014). A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, doi:10.1186/1687-6180-2014-97
Morales, R., Matteo, T.D., Aste, T. (2014). Dependency Structure and Scaling Properties of Financial Time Series Are Related. SCIENTIFIC REPORTS, 4 doi:10.1038/srep04589
Mueller, J., Hunter, A. (2014). Deepflow: Using Argument Schemes to Query Relational Databases.
Musmeci, N., Aste, T., Matteo, T.D. (2014). Clustering and hierarchy of financial markets data: advantages of the DBHT.. CoRR, abs/1406.0496
Parrado-Hernández, E., Gómez-Verdejo, V., Martínez-Ramón, M., Shawe-Taylor, J., Alonso, P., Pujol, J., ...Soriano-Mas, C. (2014). Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.. MEDICAL IMAGE ANALYSIS, 18 (3), 435-448. doi:10.1016/j.media.2014.01.006
Riedel, S., Singh, S., Srikumar, V., Rocktaschel, T., Visengeriyeva, L., Noessner, J. (2014). WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.
Rocktaschel, T., Bosnjak, M., Singh, S., Riedel, S. (2014). Low-Dimensional Embeddings of Logic.
Rondina, J.M., Hahn, T., de Oliveira, L., Marquand, A.F., Dresler, T., Leitner, T., ...Mourao-Miranda, J. (2014). SCoRS--A Method Based on Stability for Feature Selection and Mapping inNeuroimaging [corrected].. IEEE TRANSACTIONS ON MEDICAL IMAGING, 33 (1), 85-98. doi:10.1109/TMI.2013.2281398
Rondina, J.M., Hahn, T., de Oliveira, L., Marquand, A.F., Dresler, T., Leitner, T., ...Mourao-Miranda, J. (2014). Correction to "SCoRS-A Method Based on Stability for Feature Selection and Mapping in Neuroimaging".. IEEE TRANSACTIONS ON MEDICAL IMAGING, 33 (3), 794. doi:10.1109/TMI.2014.2307811
Sethi, M., Treleaven, P., Rollin, S.D.B. (2014). A New Neural Network Framework for Profitable Long-Short Equity Trading.
Sethi, M., Treleaven, P., Rollin, S.D.B. (2014). Beating The S&P 500 Index - A Successful Neural Network Approach.
Seth, S., Shawe-Taylor, J., Kaski, S. (2014). Retrieval of experiments by efficient comparison of marginal likelihoods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8835 135-142.
Silver, D., Lever, G., Heess, N., Degris, T., Wierstra, D., Riedmiller, M. (2014). Deterministic policy gradient algorithms.
Sun, S., Hussain, Z., Shawe-Taylor, J. (2014). Manifold-preserving graph reduction for sparse semi-supervised learning. NEUROCOMPUTING, 124 13-21. doi:10.1016/j.neucom.2012.08.070
Sun, S., Hussain, Z., Shawe-Taylor, J. (2014). Manifold-preserving graph reduction for sparse semi-supervised learning. Neurocomputing, 124 13-21. doi:10.1016/j.neucom.2012.08.070
Thomas, N., Best, K., Cinelli, M., Reich-Zeliger, S., Gal, H., Shifrut, E., ...Chain, B. (2014). Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence.. BIOINFORMATICS, 30 (22), 3181-3188. doi:10.1093/bioinformatics/btu523
Vlachos, A., Riedel, S. (2014). Fact Checking: Task definition and dataset construction.
Wang, Y., Barber, D. (2014). Gaussian processes for Bayesian estimation in ordinary differential equations.
Williams, M., Liu, Z.W., Hunter, A., Macbeth, F. (2014). An updated systematic review of lung chemo-radiotherapy using a new evidence aggregation method. Lung Cancer, doi:10.1016/j.lungcan.2014.12.004
Zaremba, A., Aste, T. (2014). Measures of Causality in Complex Datasets with application to financial data. ENTROPY, 16 (4), 2309-2349. doi:10.3390/e16042309
Zhaoping, L. (2014). Ocular contrast speeds up an in efficient search for a T among L's which appear in non-uniform depth.
Zhaoping, L. (2014). Understanding Vision: theory, models, and data. UK: Oxford University Press.
Zheludev, I., Smith, R., Aste, T. (2014). When can social media lead financial markets?. SCIENTIFIC REPORTS, 4 doi:10.1038/srep04213

2013

Argyriou, A., Baldassarre, L., Micchelli, C.A., Pontil, M. (2013). On Sparsity Inducing Regularization Methods for Machine Learning. 205-216. doi:10.1007/978-3-642-41136-6_18
Aste, T., Butler, P., Matteo, T.D. (2013). Self-Referential Order. PHILOSOPHICAL MAGAZINE, 93 (31-33), 3983-3992. doi:10.1080/14786435.2013.835495
Aung, M.H., Bianchi-Berthouze, N., Pontil, M. (2013). Multilinear Multitask learning.
Bui, H., Huynh, T., Riedel, S. (2013). Automorphism Groups of Graphical Models and Lifted Variational Inference.
Challis, E., Barber, D. (2013). Gaussian Kullback-Leibler Approximate Inference. JOURNAL OF MACHINE LEARNING RESEARCH, 14 2239-2286.
Chan, S., Treleaven, P., Capra, L. (2013). Continuous hyperparameter optimization for large-scale recommender systems. 2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA,
Fletcher, T., Shawe-Taylor, J. (2013). Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction. COMPUTATIONAL ECONOMICS, 42 (2), 217-240. doi:10.1007/s10614-012-9317-z
Gentile, C., Herbster, M., Pasteris, S. (2013). Online Similarity Prediction of Networked Data from Known and Unknown Graphs.
Gorse, D. (2013). Binary particle swarm optimisation with improved scaling behaviour.
Grant, J., Hunter, A. (2013). Distance-based measures of inconsistency. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7958 LNAI 230-241. doi:10.1007/978-3-642-39091-3-20
Grünewälder, S., Gretton, A., Shawe-Taylor, J. (2013). Smooth operators. 30th International Conference on Machine Learning, ICML 2013, (PART 3), 2221-2229.
Guez, A., Silver, D., Dayan, P. (2013). Scalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search. Journal of Artificial Intelligence Research, 48 841-883.
Hirsch, R.D. (2013). CORRIGENDUM TO: “RELATION ALGEBRA REDUCTS OFCYLINDRIC ALGEBRAS AND COMPLETE REPRESENTATIONS”. The Journal of Symbolic Logic, 78 (4), 1345-1346. doi:10.2178/jsl.7804190
Hirsch, R.D., Dodd, L. (2013). Improved lower bounds on the size of the smallest solution to a graph colouring problem, with an application to relation algebra.. JORMICS, 2 18-26.
Hirsch, R., Hodkinson, I. (2013). Completions and Complete Representability for Cylindric Algebras. In Andreka, H., Nemeti, I., Ferenczki, M. (Eds.), Cylindric-like algebras and Algebraic Logic. Springer.
Hirsch, R., M.i.k.u.l.a.s. (2013). Ordered Domain Algebras. Journal of Applied Logic,
Hunter, A. (2013). A probabilistic approach to modelling uncertain logical arguments. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 54 (1), 47-81. doi:10.1016/j.ijar.2012.08.003
Hunter, A. (2013). Modelling uncertainty in persuasion. SCALABLE UNCERTAINTY MANAGEMENT, SUM 2013, 8078 57-70.
Hunter, A. (2013). Analysis of dialogical argumentation via finite state machines. SCALABLE UNCERTAINTY MANAGEMENT, SUM 2013, 8078 1-14.
Hunter, A., Woltran, S. (2013). Structural properties for deductive argument systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7958 LNAI 278-289. doi:10.1007/978-3-642-39091-3-24
Hutzler, S., Aste, T., Chan, H.K., Drenckhan, W., Hutzler, S., Mughal, A. (2013). Preface. Philosophical Magazine, 93 (31-33), 3939-. doi:10.1080/14786435.2013.854101
Jiang, A., Aste, T., Dasgupta, P., Althoefer, K., Nanayakkara, T. (2013). Granular jamming transitions for a robotic mechanism. POWDERS AND GRAINS 2013, 1542 385-388. doi:10.1063/1.4811948
Jingling, L., Tseng, C.-.H., Zhaoping, L. (2013). Orientation is different: Interaction between contour integration and feature contrasts in visual search. JOURNAL OF VISION, 13 (3), doi:10.1167/13.3.26
Jones, A.R., Cutler, L.R., Parkinson, K.N., Ells, L.J., Tovee, M.J., Scott, D., ...Speed, C. (2013). Improving parental recognition of childhood overweight: The Map Me Study. PROCEEDINGS OF THE NUTRITION SOCIETY, 72 (OCE4), E290. doi:10.1017/S0029665113003170
Khoury, P., Gorse, D. (2013). Investigation of the predictability of steel manufacturer stock price movements using particle swarm optimisation.
Lever, G., Laviolette, F., Shawe-Taylor, J. (2013). Tighter PAC-Bayes bounds through distribution-dependent priors. THEORETICAL COMPUTER SCIENCE, 473 4-28. doi:10.1016/j.tcs.2012.10.013
Lever, G., Laviolette, F., Shawe-Taylor, J. (2013). Tighter PAC-Bayes bounds through distribution-dependent priors. Theoretical Computer Science, 473 4-28. doi:10.1016/j.tcs.2012.10.013
Martínez-Rego, D., Pontil, M. (2013). Multi-task averaging via task clustering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7953 LNCS 148-159. doi:10.1007/978-3-642-39140-8_10
Maurer, A., Pontil, M. (2013). Excess risk bounds for multitask learning with trace norm regularization. Journal of Machine Learning Research, 30 55-76.
Maurer, A., Pontil, M., Romera-Paredes, B. (2013). Sparse coding for multitask and transfer learning..
Maurer, A., Pontil, M., Romera-Paredes, B. (2013). Sparse coding for multitask and transfer learning. 30th International Conference on Machine Learning, ICML 2013, (PART 2), 1002-1010.
May, K.A., Li, Z. (2013). The potential roles of saturating and supersaturating contrast-response functions in conjunction detection: Reply to Peirce. JOURNAL OF VISION, 13 (4), doi:10.1167/13.4.22
May, K.A., Zhaoping, L. (2013). The potential roles of saturating and supersaturating contrast-response functions in conjunction detection: Reply to Peirce. Journal of Vision, 13 (4), doi:10.1167/13.4.22
Micchelli, C.A., Morales, J.M., Pontil, M. (2013). Regularizers for structured sparsity. ADVANCES IN COMPUTATIONAL MATHEMATICS, 38 (3), 455-489. doi:10.1007/s10444-011-9245-9
Micchelli, C.A., Morales, J.M., Pontil, M. (2013). Regularizers for structured sparsity. Advances in Computational Mathematics, 38 (3), 455-489. doi:10.1007/s10444-011-9245-9
Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., Riedmiller, M. (2013). Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602,
Morales, R., Di Matteo, T., Aste, T. (2013). Non-stationary multifractality in stock returns. Physica A: Statistical Mechanics and its Applications, 392 (24), 6470-6483. doi:10.1016/j.physa.2013.08.037
Morales, R., Matteo, T.D., Aste, T. (2013). Non stationary multifractality in stock returns. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 392 (24), 6470-6483. doi:10.1016/j.physa.2013.08.037
Müller, J., Hunter, A., Taylor, P. (2013). Meta-level argumentation with argument schemes. SCALABLE UNCERTAINTY MANAGEMENT, SUM 2013, 8078 92-105.
Pasupa, K., Hussain, Z., Shawe-Taylor, J., Willett, P. (2013). Drug screening with elastic-net multiple kernel learning. 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013, doi:10.1109/BIBE.2013.6701529
Pontil, M., Maurer, A. (2013). Excess risk bounds for multitask learning with trace norm regularization..
Pozzi, F., Di Matteo, T., Aste, T. (2013). Spread of risk across financial markets: better to invest in the peripheries.. SCIENTIFIC REPORTS, 3 doi:10.1038/srep01665
Riedel, S., Yao, L., Marlin, B.M., McCallum, A. (2013). Relation Extraction with Matrix Factorization and Universal Schemas.
Riedel, S., Yao, L., McCallum, A. (2013). Latent Relation Representations for Universal Schemas.
Romera-Paredes, B., Aung, M.S.H., Pontil, M., Williams, A.C.D.C., Watson, P., Bianchi-Berthouze, N. (2013). Transfer Learning to Account for Idiosyncrasy in Face and Body Expressions.
Romera-Paredes, B., Pontil, M. (2013). A New Convex Relaxation for Tensor Completion..
Romera-Paredes, B., Pontil, M. (2013). A New Convex Relaxation for Tensor Completion. Advances in Neural Information Processing Systems,
Rondina, J.M., Shawe-Taylor, J., Mourao-Miranda, J. (2013). Stability-based multivariate mapping using SCoRS.
Rosa, M.J., Portugal, L., Shawe-Taylor, J., Mourao-Miranda, J., I.E.E.E. (2013). Sparse network-based models for patient classification using fMRI.
Rousu, J., Agranoff, D.D., Sodeinde, O., Shawe-Taylor, J., Fernandez-Reyes, D. (2013). Biomarker Discovery by Sparse Canonical Correlation Analysis of Complex Clinical Phenotypes of Tuberculosis and Malaria. PLOS COMPUTATIONAL BIOLOGY, 9 (4), doi:10.1371/journal.pcbi.1003018
Saeidi, M., Gorse, D. (2013). A novel application of particle swarm optimisation to optimal trade execution.
Schaller, F.M., Kapfer, S.C., Evans, M.E., Hoffmann, M.J.F., Mecke, K., Schröder-Turk, G.E., ...Delaney, G.W. (2013). Set Voronoi diagrams of 3D assemblies of aspherical particles. PHILOSOPHICAL MAGAZINE, 93 (31-33), 3993-4017. doi:10.1080/14786435.2013.834389
Schaul, T., Antonoglou, I., Silver, D. (2013). Unit tests for stochastic optimization. arXiv preprint arXiv:1312.6055,
Schröder-Turk, G.E., Schielein, R., Kapfer, S.C., Schaller, F.M., Delaney, G.W., Senden, T., ...Mecke, K. (2013). Minkowski tensors and local structure metrics: Amorphous and crystalline sphere packings. POWDERS AND GRAINS 2013, 1542 349-352. doi:10.1063/1.4811939
Silver, D., Newnham, L., Barker, D., Weller, S., McFall, J. (2013). Concurrent reinforcement learning from customer interactions.
Singh, S., Riedel, S., Martin, B., Zheng, J., McCallum, A. (2013). Joint Inference of Entities, Relations, and Coreference.
Staines, J., Barber, D. (2013). Optimization by variational bounding. ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 473-478.
Suchanek, F.M., Riedel, S., Singh, S., Talukdar, P.P. (2013). Chairs' welcome to the AKBC 2013.
Suchanek, F.M., Riedel, S., Singh, S., Talukdar, P.P. (2013). AKBC 2013: Third workshop on automated knowledge base construction.
Thomas, N., Heather, J., Ndifon, W., Shawe-Taylor, J., Chain, B. (2013). Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.. BIOINFORMATICS, 29 (5), 542-550. doi:10.1093/bioinformatics/btt004
Thomas, N., Heather, J., Pollara, G., Simpson, N., Matjeka, T., Shawe-Taylor, J., ...Chain, B. (2013). The immune system as a biomonitor: Explorations in innate and adaptive immunity. Interface Focus, 3 (2), doi:10.1098/rsfs.2012.0099
Treleaven, P., Galas, M., Lalchand, V. (2013). Algorithmic Trading Review. COMMUNICATIONS OF THE ACM, 56 (11), 76-85. doi:10.1145/2500117
Yao, L., Riedel, S., McCallum, A. (2013). Universal Schema for Entity Type Prediction.
Zhang, J., Hunter, A., Zhou, Y. (2013). A logic reasoning based system to harness bioprocess experimental data and knowledge for bioprocess design. Biochemical Engineering Journal, 74 127-135.
Zhaoping, L. (2013). A theory of the primary visual cortex (V1): Predictions, experimental tests, and implications for future research. PERCEPTION, 42 84.
Zhaoping, L. (2013). Different perceptual decoding architectures for the central and peripheral vision revealed by dichoptic motion stimuli. PERCEPTION, 42 21.

2012

Aste, T., Gramatica, R., Di Matteo, T. (2012). Random and frozen states in complex triangulations. Philosophical Magazine, 92 (1-3), 246-254. doi:10.1080/14786435.2011.613861
Aste, T., Gramatica, R., Matteo, T.D. (2012). Exploring complex networks via topological embedding on surfaces. PHYSICAL REVIEW E, 86 (3), doi:10.1103/PhysRevE.86.036109
Baldassarre, L., Morales, J., Argyriou, A., Pontil, M. (2012). A General Framework for Structured Sparsity via Proximal Optimization.
Baldassarre, L., Morales, J.M., Pontil, M. (2012). Incorporating additional constraints in sparse estimation. IFAC Proceedings Volumes (IFAC-PapersOnline), 16 (PART 1), 959-964. doi:10.3182/20120711-3-BE-2027.00185
Baldassarre, L., Mourão-Miranda, J., Pontil, M. (2012). Structured sparsity models for brain decoding from fMRI data.
Barber, D. (2012). Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices. CoRR, abs/1206.3237
Barunik, J., Aste, T., Matteo, T.D., Liu, R. (2012). Understanding the source of multifractality in financial markets. Physica A: Statistical Mechanics and its Applications, 391 (17), 4234-4251. doi:10.1016/j.physa.2012.03.037
Belanger, D., Passos, A., Riedel, S., McCallum, A. (2012). MAP Inference in Chains using Column Generation..
Belanger, D., Passos, A., Riedel, S., McCallum, A. (2012). MAP inference in chains using column generation.
Belanger, D., Passos, A., Riedel, S., McCallum, A. (2012). Speeding up MAP with Column Generation and Block Regularization.
Bentley, K., CLACK, C.D., Cox, E.J. (2012). Diatom colony formation: A computational study predicts a single mechanism can produce both linkage and separation valves due to an environmental switch. Journal of Phycology, 48 (3), 716-728. doi:10.1111/j.1529-8817.2012.01176.x
Black, E., Hunter, A. (2012). A Relevance-theoretic Framework for Constructing and Deconstructing Enthymemes. JOURNAL OF LOGIC AND COMPUTATION, 22 (1), 55-78. doi:10.1093/logcom/exp064
Black, E., Hunter, A. (2012). Executable Logic for Dialogical Argumentation..
Bracegirdle, C.I., Barber, D. (2012). Bayesian Conditional Cointegration.
Branavan, S.R.K., Silver, D., Barzilay, R. (2012). Learning to win by reading manuals in a monte-carlo framework. Journal of Artificial Intelligence Research, 43 621-659. doi:10.1613/jair.3560
Bui, H., Huynh, T.N., Riedel, S. (2012). Automorphism Groups of Graphical Models and Lifted Variational Inference.
Challis, E., Barber, D. (2012). Affine Independent Variational Inference. Neural Information Processing Systems, 2195-2203.
Challis, E., Barber, D. (2012). Affine independent variational inference. Advances in Neural Information Processing Systems, 3 2186-2194.
Cincotti, S., Sornette, D., Treleaven, P., Battiston, S., Caldarelli, G., Hommes, C., Kirman, A. (2012). An economic and financial exploratory. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 214 (1), 361-400. doi:10.1140/epjst/e2012-01699-6
Díez-Fernández, M., Teleña, S.A., Gorse, D. (2012). Construction of Emerging Markets Exchange Traded Funds Using Multiobjective Particle Swarm Optimisation..
Fletcher, T., Shawe-Taylor, J. (2012). Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction. Computational Economics, 1-24.
Furmston, T., Barber, D. (2012). Efficient Inference in Markov Control Problems. CoRR, abs/1202.3720
Furmston, T., Barber, D. (2012). A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes.
Gretton, A., Sriperumbudur, B.K., Sejdinovic, D., Strathmann, H., Balakrishnan, S., Pontil, M., Fukumizu, K. (2012). Optimal kernel choice for large-scale two-sample tests..
Gretton, A., Sriperumbudur, B., Sejdinovic, D., Strathmann, H., Balakrishnan, S., Pontil, M., Fukumizu, K. (2012). Optimal kernel choice for large-scale two-sample tests.
Grünewälder, S., Broekhuis, F., Macdonald, D.W., Wilson, A.M., McNutt, J.W., Shawe-Taylor, J., Hailes, S. (2012). Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus).. PLOS ONE, 7 (11), doi:10.1371/journal.pone.0049120
Grünewälder, S., Lever, G., Baldassarre, L., Patterson, S., Gretton, A., Pontil, M. (2012). Conditional mean embeddings as regressors. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2 1823-1830.
Grunewalder, S., Lever, G., Baldassarre, L., Pontil, M., Gretton, A. (2012). Modelling transition dynamics in MDPs with RKHS embeddings.
Grünewälder, S., Lever, G., Baldassarre, L., Pontil, M., Gretton, A. (2012). Modelling transition dynamics in MDPs with RKHS embeddings..
Guan, N., Tao, D., Luo, Z., Shawe-Taylor, J. (2012). MahNMF: Manhattan Non-negative Matrix Factorization. CoRR, abs/1207.3438
Guez, A., Silver, D., Dayan, P. (2012). Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search. Advances in Neural Information Processing Systems, 1025-1033.
Heess, N., Silver, D., Teh, Y.W. (2012). Actor-Critic Reinforcement Learning with Energy-Based Policies..
Herbster, M., Pasteris, S., Vitale, F. (2012). Online Sum-Product Computation Over Trees.
Hirsch, R., Egrot, R. (2012). Completely Representable Lattices. Algebra Universalis,
Hirsch, R., Jackson, M. (2012). Some Undecidable Problems on Representability as Binary Relations. The Journal of Symbolic Logic, 77 (4), 1211-1244. doi:10.2178/jsl.7704090
Hunter, A. (2012). Some Foundations for Probabilistic Abstract Argumentation..
Hunter, A., Williams, M. (2012). Aggregating evidence about the positive and negative effects of treatments.. ARTIFICIAL INTELLIGENCE IN MEDICINE, 56 (3), 173-190. doi:10.1016/j.artmed.2012.09.004
Jones, D.T., Buchan, D.W.A., Cozzetto, D., Pontil, M. (2012). PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments.. BIOINFORMATICS, 28 (2), 184-190. doi:10.1093/bioinformatics/btr638
Khoury, P., Gorse, D. (2012). Identification of Factors Characterising Volatility and Firm-Specific Risk Using Ensemble Classifiers..
Krohn, J., Gorse, D. (2012). Extracting Key Gene Regulatory Dynamics for the Direct Control of Mechanical Systems..
Lever, G., Diethe, T., Shawe-Taylor, J. (2012). Data-dependent kernels in nearly-linear time. Journal of Machine Learning Research, 22 685-693.
Lever, G., Diethe, T., Shawe-Taylor, J. (2012). Data dependent kernels in nearly-linear time.. AISTATS, 22 685-693.
Maurer, A., Pontil, M. (2012). Structured Sparsity and Generalization.. Journal of Machine Learning Research, 13 671-690.
Maurer, A., Pontil, M. (2012). Transfer learning in a heterogeneous environment. 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012, doi:10.1109/CIP.2012.6232893
May, K.A., Zhaoping, L., Hibbard, P.B. (2012). Perceived direction of motion determined by adaptation to static binocular images,. Current Biology, 22 28-32.
McClosky, D., Riedel, S., Surdeanu, M., McCallum, A., Manning, C.D. (2012). Combining joint models for biomedical event extraction.. BMC bioinformatics, 13 Suppl 11
Montoya-Martínez, J., Artés-Rodriguez, A., Hansen, L.K., Pontil, M. (2012). Structured sparsity regularization approach to the EEG inverse problem. 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012, doi:10.1109/CIP.2012.6232898
Morales, R., Matteo, T.D., Gramatica, R., Aste, T. (2012). Dynamical Hurst exponent as a tool to monitor unstable periods in financial time series. Physica A: Statistical Mechanics and its Applications, 391 (11), 3180-3189. doi:10.1016/j.physa.2012.01.004
Muller, J., Hunter, A. (2012). An argumentation-based approach for decision making. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 1 564-571. doi:10.1109/ICTAI.2012.82
Naradowsky, J., Riedel, S., Smith, D.A. (2012). Improving NLP through Marginalization of Hidden Syntactic Structure..
Noulas, A., Scellato, S., Lambiotte, R., Pontil, M., Mascolo, C. (2012). A tale of many cities: universal patterns in human urban mobility. PLOS ONE, 7 (5), doi:10.1371/journal.pone.0037027
Parrado-Hernandez, E., Ambroladze, A., Shawe-Taylor, J., Sun, S. (2012). PAC-bayes bounds with data dependent priors. JOURNAL OF MACHINE LEARNING RESEARCH, 13 3507-3531.
Parrado-Hernández, E., Gómez-Verdejo, V., Martínez-Ramón, M., Shawe-Taylor, J., Alonso, P., Pujol, J., ...Soriano-Mas, C. (2012). Voxel selection in MRI through bagging and conformal analysis: Application to detection of obsessive compulsive disorder. Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012, 49-52. doi:10.1109/PRNI.2012.30
Pozzi, F., Di Matteo, T., Aste, T. (2012). Exponential smoothing weighted correlations. European Physical Journal B, 85 (6), doi:10.1140/epjb/e2012-20697-x
Pozzi, F., Di Matteo, T., Aste, T. (2012). Erratum: Exponential smoothing weighted correlations (European Physical Journal B) (2012) 85 (175)). European Physical Journal B, 85 (8), doi:10.1140/epjb/e2012-30636-6
Riedel, S., Smith, D.A., McCallum, A. (2012). Parse, Price and Cut--Delayed Column and Row Generation for Graph Based Parsers..
Romera Paredes, B., Argyriou, A., Bianchi-Berthouze, N., Pontil, M. (2012). Exploiting Unrelated Tasks in Multi-Task Learning.
Rondina, J.M., Shawe-Taylor, J., Mourão-Miranda, J. (2012). A new feature selection method based on stability theory - Exploring parameters space to evaluate classification accuracy in neuroimaging data.
Seldin, Y., Cesa-Bianchi, N., Auer, P., Laviolette, F., Shawe-Taylor, J. (2012). PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.. ICML On-line Trading of Exploration and Exploitation, 26 98-111.
Seldin, Y., Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J., Auer, P. (2012). PAC-Bayesian Inequalities for Martingales. IEEE TRANSACTIONS ON INFORMATION THEORY, 58 (12), 7086-7093. doi:10.1109/TIT.2012.2211334
Seldin, Y., Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J., Auer, P. (2012). PAC-Bayesian Inequalities for Martingales.. IEEE Transactions on Information Theory, 58 (12), 7086-7093. doi:10.1109/TIT.2012.2211334
Seldin, Y., Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J., Auer, P. (2012). PAC-Bayesian Inequalities for Martingales..
Sewell, M., Shawe-Taylor, J. (2012). Forecasting foreign exchange rates using kernel methods. EXPERT SYSTEMS WITH APPLICATIONS, 39 (9), 7652-7662. doi:10.1016/j.eswa.2012.01.026
Sewell, M., Shawe-Taylor, J. (2012). Forecasting foreign exchange rates using kernel methods. Expert Systems with Applications, 39 (9), 7652-7662. doi:10.1016/j.eswa.2012.01.026
Silver, D. (2012). Gradient Temporal Difference Networks..
Silver, D., Ciosek, K. (2012). Compositional Planning Using Optimal Option Models.
Silver, D., Sutton, R.S., Mueller, M. (2012). Temporal-difference search in computer Go. Machine learning, 87 183-219.
Song, W.-.M., Di Matteo, T., Aste, T. (2012). Building complex networks with Platonic solids.. Physical review. E, Statistical, nonlinear, and soft matter physics, 85 (4 Pt 2), 046115-. doi:10.1103/physreve.85.046115
Song, W.-.M., Di Matteo, T., Aste, T. (2012). Hierarchical information clustering by means of topologically embedded graphs.. PLoS ONE, 7 (3), doi:10.1371/journal.pone.0031929
Song, W.M., Di Matteo, T., Aste, T. (2012). Building complex networks with Platonic solids. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 85 (4), doi:10.1103/PhysRevE.85.046115
Song, W.M., Di Matteo, T., Aste, T. (2012). Building complex networks with Platonic solids.. Phys Rev E Stat Nonlin Soft Matter Phys, 85 (4-2), 046115-.
Staines, J., Barber, D. (2012). Variational Optimization. CoRR, abs/1212.4507
Thomas, N., Matejovicova, L., Srikusalanukul, W., Shawe-Taylor, J., Chain, B. (2012). Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks. PLOS ONE, 7 (9), doi:10.1371/journal.pone.0045262
Vlassis, N., Littman, M.L., Barber, D. (2012). On the computational complexity of stochastic controller optimization in POMDPs. ACM Transactions on Computation Theory, 4 (4), doi:10.1145/2382559.2382563
Vlassis, N., Littman, M.L., Barber, D. (2012). On the Computational Complexity of Stochastic Controller Optimization in POMDPs.. ACM Transactions on Computation Theory, 4 (4), 1-8. doi:10.1145/2382559.2382563
Wang, Z., Shah, A.D., Tate, A.R., Denaxas, S., Shawe-Taylor, J., Hemingway, H. (2012). Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.. PLOS ONE, 7 (1), doi:10.1371/journal.pone.0030412
Wells, J.C.K., Treleaven, P., Charoensiriwath, S. (2012). Body shape by 3-D photonic scanning in Thai and UK adults: comparison of national sizing surveys. INTERNATIONAL JOURNAL OF OBESITY, 36 (1), 148-154. doi:10.1038/ijo.2011.51
Yao, L., Riedel, S., McCallum, A. (2012). Unsupervised Relation Discovery with Sense Disambiguation..
Yao, L., Riedel, S., McCallum, A. (2012). Probabilistic Databases of Universal Schema.
Yue, A., Liu, W., Hunter, A. (2012). Imprecise probabilistic query answering using measures of ignorance and degree of satisfaction. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 64 (2-3), 145-183. doi:10.1007/s10472-012-9286-x
Zhang, X., Zhaoping, L., Zhou, T., Fang, F. (2012). Neural Activities in V1 Create a Bottom-Up Saliency Map. NEURON, 73 (1), 183-192. doi:10.1016/j.neuron.2011.10.035
Zhaoping, L. (2012). Gaze capture by eye of origin singletons: interdependence with awareness. Journal of Vision, 12 (2), 1-22. doi:10.1167/12.2.17
Zhaoping, L., Tribull, M., White, S. (2012). A bias against higher level processing in the learning of individuals with autism: observations in an image feature level visual search task under the interference of object level information. PERCEPTION, 41 28.
Zhaoping, L., Zhe, L. (2012). Properties of V1 Neurons Tuned to Conjunctions of Visual Features: Application of the V1 Saliency Hypothesis to Visual Search behavior. PLOS ONE, 7 (6), doi:10.1371/journal.pone.0036223

2011

(2011). Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain..
Argyriou, A., Baldassarre, L., Morales, J., Pontil, M. (2011). A General Framework for Structured Sparsity via Proximal Optimization. CoRR, abs/1106.5236
Barber, D. (2011). Approximate inference in switching linear dynamical systems using Gaussian mixtures. In Bayesian Time Series Models. (pp. 166-181). .
Barber, D., Cemgil, A.T., Chiappa, S. (2011). Bayesian time series models. .
Barber, D., Cemgil, A.T., Chiappa, S. (2011). Inference and estimation in probabilistic time series models. In Bayesian Time Series Models. (pp. 1-31). .
Barber, D., Laar, P.V.D. (2011). Variational Cumulant Expansions for Intractable Distributions. CoRR, abs/1105.5455
Bracegirdle, C.I., Barber, D. (2011). Switch-Reset Models: Exact and Approximate Inference.
Branavan, S.R.K., Silver, D., Barzilay, R. (2011). Playing Games with Language in a Monte-Carlo framework. Proceedings of ACL,
Branavan, S.R.K., Silver, D., Barzilay, R. (2011). Learning to Win by Reading Manuals in a Monte-Carlo Framework.
Branavan, S.R.K., Silver, D., Barzilay, R. (2011). Non-Linear Monte-Carlo Search in Civilization II.
Challis, E., Barber, D. (2011). Concave Gaussian variational approximations for inference in large-scale Bayesian linear models.
CLACK, C. (2011). High frequency trading - bugs, glitches, false liquidity and open warfare. In Kaur, P. (Ed.), Buy-side intelligence - the Euromoney guide to securities trading. (pp. 21-26). Euromoney Trading Limited.
Di Giammarino, P.J., Hills, S., CLACK, C. (2011). Consultation response to ‘Office of Financial Research; Statement on Legal Entity Identification for Financial Contracts’ from JWG Group and the BBA.
Dunne, P.E., Hunter, A., McBurney, P., Parsons, S., Wooldridge, M. (2011). Weighted argument systems: Basic definitions, algorithms, and complexity results. ARTIFICIAL INTELLIGENCE, 175 (2), 457-486. doi:10.1016/j.artint.2010.09.005
Efstathiou, V., Hunter, A. (2011). Algorithms for generating arguments and counterarguments in propositional logic. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 52 (6), 672-704. doi:10.1016/j.ijar.2011.01.005
Furl, N., Kumar, S., Alter, K., Durrant, S., Shawe-Taylor, J., Griffiths, T.D. (2011). Neural prediction of higher-order auditory sequence statistics. NEUROIMAGE, 54 (3), 2267-2277. doi:10.1016/j.neuroimage.2010.10.038
Furmston, T., Barber, D. (2011). Effcient inference in Markov control problems. Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, 221-229.
Furmston, T., Barber, D. (2011). Lagrange dual decomposition for finite horizon Markov decision processes. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I, 6911 487-502.
Furmston, T., Barber, D. (2011). Efficient Inference in Markov Control Problems..
Gelly, S., Silver, D. (2011). Monte-Carlo tree search and rapid action value estimation in computer Go. Artificial Intelligence, 175 1856-1875.
Głowacka, D., Dorard, L., Medlar, A., Shawe-Taylor, J. (2011). Prior knowledge in learning finite parameter spaces. FORMAL GRAMMAR, 5591 199-213.
Glowacka, D., Shawe-Taylor, J., Clark, A., de la Higuera, C., Johnson, M. (2011). Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning. JOURNAL OF MACHINE LEARNING RESEARCH, 12 1425-1428.
Gorogiannis, N., Hunter, A. (2011). Instantiating abstract argumentation with classical logic arguments: Postulates and properties. Artificial Intelligence, 175 1479-1497. doi:10.1016/j.artint.2010.12.003
Grant, J., Hunter, A. (2011). Measuring consistency gain and information loss in stepwise inconsistency resolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6717 LNAI 362-373. doi:10.1007/978-3-642-22152-1_31
Grunewalder, S., Lever, G., Baldassarre, L., Pontil, M., Gretton, A. (2011). Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions. .
Hall, B.X., Shawe-Taylor, J., Johnston, A. (2011). Employing The Complete Face in AVSR to Recover from Facial Occlusions.. WAPA, 17 33-40.
Hardoon, D.R., Shawe-Taylor, J. (2011). Sparse canonical correlation analysis. MACHINE LEARNING, 83 (3), 331-353. doi:10.1007/s10994-010-5222-7
Herbster, M., Pasteris, S., Vitale, F. (2011). Efficient Prediction for Tree Markov Random Fields in a Streaming Model.
Hirsch, R., Hodkinson, I., Maddux, R. (2011). Weak representations of relation algebras and relational bases. The Journal of Symbolic Logic, 76 (3), 870-882.
Hussain, Z., Shawe-Taylor, J. (2011). Improved loss bounds for multiple kernel learning. Journal of Machine Learning Research, 15 370-377.
Hussain, Z., Shawe-Taylor, J. (2011). A Note on Improved Loss Bounds for Multiple Kernel Learning. CoRR, abs/1106.6258
Hussain, Z., Shawe-Taylor, J., Hardoon, D.R., Dhanjal, C. (2011). Design and Generalization Analysis of Orthogonal Matching Pursuit Algorithms. IEEE TRANSACTIONS ON INFORMATION THEORY, 57 (8), 5326-5341. doi:10.1109/TIT.2011.2158880
Kano, Y., Björne, J., Ginter, F., Salakoski, T., Buyko, E., Hahn, U., ...Hunter, L.E. (2011). U-Compare bio-event meta-service: compatible BioNLP event extraction services.. BMC Bioinformatics, 12 (1), doi:10.1186/1471-2105-12-481
Klinger, R., Riedel, S., McCallum, A. (2011). Inter-Event Dependencies support Event Extraction from Biomedical Literature.
Lise, S., Buchan, D., Pontil, M., Jones, D.T. (2011). Predictions of hot spot residues at protein-protein interfaces using support vector machines.. PLOS ONE, 6 (2), doi:10.1371/journal.pone.0016774
Lounici, K., Pontil, M., van de Geer, S., Tsybakov, A.B. (2011). ORACLE INEQUALITIES AND OPTIMAL INFERENCE UNDER GROUP SPARSITY. ANNALS OF STATISTICS, 39 (4), 2164-2204. doi:10.1214/11-AOS896
Ma, J., Liu, W., Hunter, A. (2011). Modeling and Reasoning with Qualitative Comparative Clinical Knowledge. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 26 (1), 25-46. doi:10.1002/int.20445
Maurer, A., Pontil, M. (2011). Structured Sparsity and Generalization. CoRR, abs/1108.3476
May, K.A., Zhaoping, L. (2011). Exploring the roles of saturating and supersaturating contrast-response functions in conjunction detection and contrast coding. JOURNAL OF VISION, 11 (9), doi:10.1167/11.9.11
Meng, G., Zhaoping, L. (2011). Dichoptic completion and binocular rivalry under non-zero binocular disparity. PERCEPTION, 40 147.
Mourão-Miranda, J., Hardoon, D.R., Hahn, T., Marquand, A.F., Williams, S.C.R., Shawe-Taylor, J., Brammer, M. (2011). Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine.. NEUROIMAGE, 58 (3), 793-804. doi:10.1016/j.neuroimage.2011.06.042
Noulas, A., Scellato, S., Mascolo, C., Pontil, M. (2011). Exploiting Semantic Annotations for Clustering Geographic Areas and Users in Location-based Social Networks..
Noulas, A., Scellato, S., Mascolo, C., Pontil, M. (2011). An Empirical Study of Geographic User Activity Patterns in Foursquare..
Nuti, G., Mirghaemi, M., Treleaven, P., Yingsaeree, C. (2011). Algorithmic Trading. COMPUTER, 44 (11), 61-69.
Riedel, S., McCallum, A. (2011). Fast and Robust Joint Models for Biomedical Event Extraction..
Riedel, S., McCallum, A. (2011). Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation.
Riedel, S., McClosky, D., Surdeanu, M., Manning, C.D., McCallum, A. (2011). Model Combination for Event Extraction in BioNLP 2011.
Riedel, S., Sætre, R., Chun, H.-.W., Takagi, T., Tsujii, J. (2011). Bio-molecular Event Extraction with Markov Logic.. Computational Intelligence, 27 (4), 558-582. doi:10.1111/j.1467-8640.2011.00400.x
Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J., Ortner, R. (2011). PAC-Bayesian analysis of contextual bandits. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011,
Seldin, Y., Cesa-Bianchi, N., Auer, P., Laviolette, F., Shawe-Taylor, J. (2011). PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits. CoRR, abs/1110.6755
Seldin, Y., Cesa-Bianchi, N., Laviolette, F., Auer, P., Shawe-Taylor, J., Peters, J. (2011). PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off. CoRR, abs/1105.4585
Seldin, Y., Laviolette, F., Shawe-Taylor, J., Peters, J., Auer, P. (2011). PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. CoRR, abs/1105.2416
Shawe-Taylor, J., Sun, S. (2011). A review of optimization methodologies in support vector machines. NEUROCOMPUTING, 74 (17), 3609-3618. doi:10.1016/j.neucom.2011.06.026
Song, W.-.M., Matteo, T.D., Aste, T. (2011). Nested hierarchies in planar graphs. Discrete Applied Mathematics, 159 (17), 2135-2146. doi:10.1016/j.dam.2011.07.018
Veness, J., Ng, K.S., Hutter, M., Uther, W.T.B., Silver, D. (2011). A Monte-Carlo AIXI Approximation.. J. Artif. Intell. Res. (JAIR), 40 95-142. doi:10.1613/jair.3125
Wells, J.C.K., Charoensiriwath, S., Treleaven, P. (2011). Reproduction, Aging, and Body Shape by Three-Dimensional Photonic Scanning in Thai Men and Women. AMERICAN JOURNAL OF HUMAN BIOLOGY, 23 (3), 291-298. doi:10.1002/ajhb.21151
Yan, W., Clack, C.D. (2011). Evolving robust GP solutions for hedge fund stock selection in emerging markets. SOFT COMPUTING, 15 (1), 37-50. doi:10.1007/s00500-009-0511-4
Yao, L., Haghighi, A., Riedel, S., McCallum, A. (2011). Structured Relation Discovery using Generative Models..
Yoshikawa, K., Hirao, T., Riedel, S., Asahara, M., Matsumoto, Y. (2011). Coreference based event extraction on biomedical text. Transactions of the Japanese Society for Artificial Intelligence, 26 (2), 318-323. doi:10.1527/tjsai.26.318
Yoshikawa, K., Riedel, S., Hirao, T., Asahara, M., Matsumoto, Y. (2011). Coreference based event-argument relation extraction on biomedical text.. J. Biomedical Semantics, 2 S6.
Yoshikawa, K., Riedel, S., Hirao, T., Asahara, M., Matsumoto, Y. (2011). Coreference based event-argument relation extraction on biomedical text.. Journal of Biomedical Semantics, 2 (5), doi:10.1186/2041-1480-2-S5-S6
Zhang, J., Hunter, A., Zhou, Y. (2011). Systematic data and knowledge utilization to speed up bioprocess development.
Zhang, J., Hunter, A., Zhou, Y. (2011). Bioprocess data and knowledge framework for chromatography design.
Zhang, J., Hunter, A., Zhou, Y. (2011). Systematic Data and Knowledge Utilization to Speed up Bioprocess Design.
Zhao, L., Zhaoping, L. (2011). Understanding Auditory Spectro-Temporal Receptive Fields and Their Changes with Input Statistics by Efficient Coding Principles. PLOS COMPUTATIONAL BIOLOGY, 7 (8), doi:10.1371/journal.pcbi.1002123
Zhaoping, L. (2011). Neural circuit models for computations in early visual cortex. CURRENT OPINION IN NEUROBIOLOGY, 21 (5), 808-815. doi:10.1016/j.conb.2011.07.005
Zhaoping, L. (2011). A saliency map in cortex: Implications and inference from the representation of visual space. PERCEPTION, 40 162.
Zhaoping, L., Frith, U. (2011). A clash of bottom-up and top-down processes in visual search: the reversed letter effect revisited.. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 37 (4), 997-1006. doi:10.1037/a0023099
Zhaoping, L., Geisler, W.S., May, K.A. (2011). Human wavelength discrimination of monochromatic light explained by optimal wavelength decoding of light of unknown intensity.. PLoS One, 6 (5), doi:10.1371/journal.pone.0019248

2010

(2010). Scalable Uncertainty Management - 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings.
(2010). Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada..
Aste, T., Delaney, G.W., Matteo, T.D. (2010). kGamma distributions in granular packs. AIP Conference Proceedings, 1227 157-166. doi:10.1063/1.3435386
Auer, P., Hussain, Z., Kaski, S., Klami, A., Kujala, J., Laaksonen, J., ...Shawe-Taylor, J. (2010). Pinview: Implicit Feedback in Content-Based Image Retrieval.. PROCEEDINGS OF THE FIRST WORKSHOP ON APPLICATIONS OF PATTERN ANALYSIS, 11 51-57.
Barber, D., Cemgil, A.T. (2010). Graphical Models for Time-Series. IEEE SIGNAL PROCESSING MAGAZINE, 27 (6), 18-28. doi:10.1109/MSP.2010.938028
Bridle, S., Balan, S.T., Bethge, M., Gentile, M., Harmeling, S., Heymans, C., ...Kirk, D. (2010). Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing. \mnras, 405 2044-2061. doi:10.1111/j.1365-2966.2010.16598.x
Bridle, S., Balan, S.T., Bethge, M., Gentile, M., Harmeling, S., Heymans, C., ...Kirk, D. (2010). Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 405 (3), 2044-2061. doi:10.1111/j.1365-2966.2010.16598.x
Chen, C.C., Clack, C.D., Nagl, S.B. (2010). Identifying Multi-Level Emergent Behaviors in Agent-Directed Simulations using Complex Event Type Specifications. Simulation, 86 (1), 41-51. doi:10.1177/0037549709106692
CLACK, C. (2010). Financial Evolutionary Computing.
CLACK, C. (2010). Using Computer Simulations to Study and Predict the Global Financial Markets.
Cristianini, N., Shawe-Taylor, J. (2010). An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.. Cambridge University Press.
Delaney, G.W., Matteo, T.D., Aste, T. (2010). Combining tomographic imaging and DEM simulations to investigate the structure of experimental sphere packings. Soft Matter, 6 (13), 2992-3006. doi:10.1039/b927490a
Deshpande, A., Hunter, A. (Eds.), (2010). Scalable Uncertainty Management. Springer.
Diethe, T., Hardoon, D.R., Shawe-Taylor, J. (2010). Constructing nonlinear discriminants from multiple data views. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I, 6321 328-343.
Di Matteo, T., Pozzi, F., Aste, T. (2010). The use of dynamical networks to detect the hierarchical organization of financial market sectors. EUROPEAN PHYSICAL JOURNAL B, 73 (1), 3-11. doi:10.1140/epjb/e2009-00286-0
Dorard, L., Shawe-Taylor, J. (2010). Gaussian Process Bandits for Tree Search. CoRR, abs/1009.0605
Fletcher, T., Hussain, Z., Shawe-Taylor, J. (2010). Multiple Kernel Learning on the Limit Order Book.. PROCEEDINGS OF THE FIRST WORKSHOP ON APPLICATIONS OF PATTERN ANALYSIS, 11 167-174.
Furmston, T., Barber, D. (2010). Variational methods for reinforcement learning. Journal of Machine Learning Research, 9 241-248.
Glowacka, D., Shawe-Taylor, J. (2010). Content-based Image Retrieval with Multinomial Relevance Feedback.. PROCEEDINGS OF 2ND ASIAN CONFERENCE ON MACHINE LEARNING (ACML2010), 13 111-125.
Gorogiannis, N., Hunter, A., Patkar, V., Williams, M. (2010). Argumentation about Treatment Efficacy.
Gorse, D. (2010). Application of stochastic recurrent reinforcement learning to index trading..
Hardoon, D.R., Shawe-Taylor, J. (2010). Decomposing the tensor kernel support vector machine for neuroscience data with structured labels. Machine Learning, 79 (1-2), 29-46. doi:10.1007/s10994-009-5159-x
Higgs, M., Shawe-Taylor, J. (2010). A PAC-Bayes bound for tailored density estimation. ALGORITHMIC LEARNING THEORY, ALT 2010, 6331 148-162.
Hirsch, R.D. (2010). Modal Logic and Relativity.
Hirsch, R., Gorogiannis, N. (2010). The complexity of the warranted formula problem in propositional argumentation. Journal of Logic and Computation, 20 (2), 482-499.
Hirsch, R., Mikulas, S. (2010). Axiomatizability of Representable Domain Algebras. Journal of Logic and Algebraic Programming, doi:10.1016/j.jlap.2010.07.019
Hirsch, R., Mikulas, S. (2010). Positive Fragments of Relevance Logic and Algebras of Binary Relations. Review of Symbolic Logic, doi:10.1017/S1755020310000249
Hunter, A. (2010). Base logics in argumentation. Frontiers in Artificial Intelligence and Applications, 216 275-286. doi:10.3233/978-1-60750-619-5-275
Hunter, A., Konieczny, S. (2010). On the measure of conflicts: Shapley Inconsistency Values. ARTIFICIAL INTELLIGENCE, 174 (14), 1007-1026. doi:10.1016/j.artint.2010.06.001
Hunter, A., Liu, W. (2010). A survey of formalisms for representing and reasoning with scientific knowledge. KNOWLEDGE ENGINEERING REVIEW, 25 (2), 199-222. doi:10.1017/S0269888910000019
Hunter, A., Williams, M. (2010). Argumentation for Aggregating Clinical Evidence.
Hunter, A., Williams, M. (2010). Qualitative Evidence Aggregation using Argumentation.
Hunter, A., Williams, M. (2010). Using clinical preferences in argumentation about evidence from clinical trials. IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium, 118-127. doi:10.1145/1882992.1883011
Hussain, Z., Leung, A.P., Pasupa, K., Hardoon, D.R., Auer, P., Shawe-Taylor, J. (2010). Exploration-Exploitation of Eye MovementEnriched Multiple Feature Spaces forContent-Based Image Retrieval.
Hussain, Z., Pasupa, K., Shawe-Taylor, J. (2010). Learning Relevant Eye Movement Feature Spaces Across Users.
Hussain, Z., Pasupa, K., Shawe-Taylor, J. (2010). Learning relevant eye movement feature spaces across users. Eye Tracking Research and Applications Symposium (ETRA), 181-186. doi:10.1145/1743666.1743711
Kitching, T., Balan, S., Bernstein, G., Bethge, M., Bridle, S., Courbin, F., ...Hosseini, R. (2010). Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook. ArXiv e-prints,
Krohn, J., Gorse, D. (2010). Fractal Gene Regulatory Networks for Control of Nonlinear Systems..
Lever, G., Laviolette, F., Shawe-Taylor, J. (2010). Distribution-dependent PAC-Bayes priors.
Ma, J., Liu, W., Hunter, A. (2010). Inducing probability distributions from knowledge bases with (In)dependence relations. PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 339-344.
Ma, J., Liu, W., Hunter, A., Zhang, W. (2010). An XML based framework for merging incomplete and inconsistent statistical information from clinical trials. Studies in Fuzziness and Soft Computing, 255 259-290. doi:10.1007/978-3-642-14010-5_10
Maurer, A., Pontil, M. (2010). K-Dimensional Coding Schemes in Hilbert Spaces. IEEE TRANSACTIONS ON INFORMATION THEORY, 56 (11), 5839-5846. doi:10.1109/TIT.2010.2069250
May, K.A., Zhaoping, L., Hibbard, P.B. (2010). Binocular integration in human vision adapts to maximize information coding efficiency. PERCEPTION, 39 77.
Micchelli, C.A., Morales, J., Pontil, M. (2010). A Family of Penalty Functions for Structured Sparsity..
Oliveri, M., Zhaoping, L., Mangano, G.R., Turriziani, P., Smirni, D., Cipolotti, L. (2010). Facilitation of bottom-up feature detection following rTMS-interference of the right parietal cortex.. Neuropsychologia, 48 (4), 1003-1010. doi:10.1016/j.neuropsychologia.2009.11.024
Papangelis, A., Metsis, V., Shawe-Taylor, J., Makedon, F. (2010). Sensor placement and coordination via distributed multi-agent cooperative control. ACM International Conference Proceeding Series, doi:10.1145/1839294.1839311
Riedel, S. (2010). Declarative probabilistic programming for undirected graphical models: Open up to scale up.
Riedel, S., Smith, D.A. (2010). Relaxed Marginal Inference and its Application to Dependency Parsing..
Riedel, S., Smith, D.A., McCallum, A. (2010). Inference by minimizing size, divergence, or their sum.
Riedel, S., Yao, L., McCallum, A. (2010). Modeling Relations and Their Mentions without Labeled Text..
Schröder-Turk, G.E., Mickel, W., Schröter, M., Delaney, G.W., Saadatfar, M., Senden, T.J., ...Aste, T. (2010). Disordered spherical bead packs are anisotropic. EPL, 90 (3), doi:10.1209/0295-5075/90/34001
Shawe-Taylor, J. (2010). Multivariate Bandits and Their Applications.
Shawe-Taylor, J., Parrado-Hernández, E., Ambroladze, A. (2010). Data dependent priors in PAC-Bayes bounds. Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers, 231-240. doi:10.1007/978-3-7908-2604-3-21
SHAWE-TAYLOR, J., Sun, S. (2010). Sparse Semi-supervised Learning Using Conjugate Functions. Journal of Machine Learning Research, 11 2423-2455.
SHAW, W., Aste, T., Di Matteo, T. (2010). Correlation structure and dynamics in volatile markets. New Journal of Physics, 12 (8), doi:10.1088/1367-2630/12/8/085009
Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J., Barillec, R. (2010). A comparison of variational and markov chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Journal of Signal Processing Systems, 61 (1), 51-59. doi:10.1007/s11265-008-0299-y
Silver, D., Veness, J. (2010). Monte-Carlo Planning in Large POMDPs.
Singh, S., Yao, L., Riedel, S., McCallum, A. (2010). Constraint-Driven Rank-Based Learning for Information Extraction..
Veness, J., Ng, K.S., Hutter, M., Silver, D. (2010). Reinforcement Learning via AIXI Approximation.
Veness, J., Ng, K.S., Hutter, M., Silver, D. (2010). Reinforcement Learning via AIXI Approximation..
Wang, Z., Shawe-Taylor, J. (2010). A kernel regression framework for SMT. Machine Translation, 24 (2), 87-102. doi:10.1007/s10590-010-9079-0
Wang, Z., Shawe-Taylor, J., Shah, A. (2010). Semi-supervised feature learning from clinical text. Proceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010, 462-466. doi:10.1109/BIBM.2010.5706610
Wells, J.C.K., Griffin, L., Treleaven, P. (2010). Independent Changes in Female Body Shape with Parity and Age: A Life-History Approach to Female Adiposity. AMERICAN JOURNAL OF HUMAN BIOLOGY, 22 (4), 456-462. doi:10.1002/ajhb.21017
Wells, J.C.K., Treleaven, P., Cole, T.J. (2010). A simple explanation for the inverse association between height and waist in men Reply. AMERICAN JOURNAL OF CLINICAL NUTRITION, 92 (6), 1536-1537. doi:10.3945/ajcn.110.002667
Yao, L., Riedel, S., McCallum, A. (2010). Collective Cross-Document Relation Extraction Without Labelled Data..
Yingsaeree, C., Nuti, G., Treleaven, P.C. (2010). Computational Finance.. COMPUTER, 43 (12), 36-43. doi:10.1109/MC.2010.343
Zhaoping, L. (2010). Ocularity as a basic visual feature dimension for bottom-up attentional attraction. PERCEPTION, 39 4-5.

2009

(2009). Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II.
Ajanki, A., Hardoon, D.R., Kaski, S., Puolamäki, K., Shawe-Taylor, J. (2009). Can eyes reveal interest? Implicit queries from gaze patterns. User Modeling and User-Adapted Interaction, 19 (4), 307-339. doi:10.1007/s11257-009-9066-4
Argyriou, A., Micchelli, C.A., Pontil, M. (2009). When Is There a Representer Theorem? Vector Versus Matrix Regularizers.. Journal of Machine Learning Research, 10 2507-2529. doi:10.1145/1577069.1755870
Aste, T., Di Matteo, T., Delaney, G.W. (2009). The pursuit of loosest packing. AIP Conference Proceedings, 1145 203-206. doi:10.1063/1.3179893
Barber, D. (2009). Identifying graph clusters using variational inference and links to covariance parametrization. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 367 (1906), 4407-4426. doi:10.1098/rsta.2009.0117
Besnard, P., Hunter, A. (2009). Argumentation based on classical logic. 133-152. doi:10.1007/978-0-387-98197-0_7
Black, E., Hunter, A. (2009). An inquiry dialogue system. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 19 (2), 173-209. doi:10.1007/s10458-008-9074-5
Black, E., Hunter, A., Pan, J.Z. (2009). An argument-based approach to using multiple ontologies. SCALABLE UNCERTAINTY MANAGEMENT, PROCEEDINGS, 5785 68-+.
Bridle, S., Shawe-Taylor, J., Amara, A., Applegate, D., Balan, S.T., Berge, J., ...Gill, M. (2009). Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing. Annals of Applied Statistics, 3 6-37. doi:10.1214/08-AOAS222
Buntine, W., Grobelnik, M., Mladenić, D., Shawe-Taylor, J. (2009). Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009 Bled, Slovenia, September 7-11, 2009 Proceedings, Part I - Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5781 LNAI (PART 1),
Caponnetto, A., De Vito, E., Pontil, M. (2009). Entropy conditions for Lr-convergence of empirical processes. Advances in Computational Mathematics, 30 (4), 355-373. doi:10.1007/s10444-008-9072-9
Chen, C.-.C., Nagl, S., Clack, C.D. (2009). Complexity and Emergence in Engineering Systems. Studies in Computational Intelligence, 168 99-128.
chen, C.-.C., nagl, S., clack, C.D. (2009). A formalism for multi-level emergent behaviours in designed component-based systems and agent-based simulations. Understanding Complex Systems, 44 101-114. doi:10.1007/978-3-642-02199-2_4
CLACK, C. (2009). Applying Tomorrow's Technologies to Today's Capital Market Challenges.
CLACK, C. (2009). Evolutionary Financial Computing - Survival of the Fittest in Trading and Investment.
CLACK, C. (2009). Financial Evolutionary Computing.
Dhanjal, C., Gunn, S.G., Shawe-Taylor, J. (2009). Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 (8), 1347-1361. doi:10.1109/TPAMI.2008.171
Dhanjal, C., Gunn, S.R., Shawe-Taylor, J. (2009). Efficient sparse kernel feature extraction based on partial least squares. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 (8), 1347-1361. doi:10.1109/TPAMI.2008.171
Diethe, T., Durrant, S., Shawe-Taylor, J., Neubauer, H. (2009). Detection of changes in patterns of brain activity according to musical tonality. Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009, 12-17.
Diethe, T., Hussain, Z., Hardoon, D., Shawe-Taylor, J. (2009). Matching Pursuit Kernel Fisher Discriminant Analysis.
Diethe, T., Teodoru, G., Furl, N., Shawe-Taylor, J. (2009). Sparse Multiview Methods for Classification of Musical Genre from Magnetoencephalography Recordings.
Dorard, L., Glowacka, D., Shawe-Taylor, J. (2009). GAUSSIAN PROCESS MODELLING OF DEPENDENCIES IN MULTI-ARMED BANDIT PROBLEMS.
Dunne, P.E., Hunter, A., McBurney, P., Parsons, S., Wooldridge, M. (2009). Inconsistency tolerance in weighted argument systems..
Durrant, S., Hardoon, D., Brechmann, A., Shawe-Taylor, J., Miranda, E.R., Scheich, H. (2009). GLM and SVM Analyses of Neural Response to Tonal and Atonal Stimuli: New Techniques and A Comparison. Connection Science, (Special Issue on `Music, Brain &),
Durrant, S., Hardoon, D.R., Brechmann, A., Shawe-Taylor, J., Miranda, E.R., Scheich, H. (2009). GLM and SVM analyses of neural response to tonal and atonal stimuli: New techniques and a comparison. Connection Science, 21 (2-3), 161-175. doi:10.1080/09540090902733863
Durrant, S., Hardoon, D.R., Brechmann, A., Shawe-Taylor, J., Miranda, E.R., Scheich, H. (2009). GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison (vol 21, pg 161, 2009). CONNECTION SCIENCE, 21 (4), 383. doi:10.1080/09540090903132230
Efstathiou, V., Hunter, A. (2009). An Algorithm for Generating Arguments in Classical Predicate Logic.
Elsner, A., Wagner, A., Aste, T., Hermann, H., Stoyan, D. (2009). Specific surface area and volume fraction of the cherry-pit model with packed pits.. Journal of Physical Chemistry B, 113 (22), 7780-7784. doi:10.1021/jp806767m
Gorogiannis, N., Hunter, A., Williams, M. (2009). An argument-based approach to reasoning with clinical knowledge. International Journal of Approximate Reasoning, 51 1-22. doi:10.1016/j.ijar.2009.06.015
Hardoon, D., Hussain, Z., Shawe-Taylor, J. (2009). Support Vector Machine Model Selection Using Strangeness.
Hardoon, D., Hussain, Z., Shawe-Taylor, J. (2009). A Nonconformity Approach to Model Selection for SVMs. .
Hardoon, D.R., Shawe-Taylor, J. (2009). Convergence analysis of kernel Canonical Correlation Analysis: Theory and practice. Machine Learning, 74 (1), 23-38. doi:10.1007/s10994-008-5085-3
Hardoon, D., Shawe-Taylor, J. (2009). Convergence Analysis of Kernel Canonical Correlation Analysis: Theory and Practice. Machine Learning,
hassan, G., clack, C.D. (2009). Robustness of multiple objective GP stock-picking in unstable financial markets: real-world applications track.
Herbster, M., Lever, G. (2009). Predicting the labelling of a graph via minimum p-seminorm interpolation.
Herbster, M., Pontil, M., Rojas Galeano, S. (2009). Fast Prediction on a Tree.
Herbster, M., Pontil, M., Rojas-Galeano, S. (2009). Fast prediction on a tree.
Hirsch, R., Hodkinson, I. (2009). Strongly representable atom structures of cylindric algebras.. Journal of Symbolic Logic, 74 (3), 811-828.
Hirsch, R., Hodkinson, I. (2009). STRONGLY REPRESENTABLE ATOM STRUCTURES OF CYLINDRIC ALGEBRAS. JOURNAL OF SYMBOLIC LOGIC, 74 (3), 811-828.
Hunter, A., Liu, W. (2009). Knowledge Base Stratification and Merging Based on Degree of Support.
Hussain, Z., Shawe-Taylor, J. (2009). Theory of matching pursuit.
Kolcz, A., Mladenic, D., Buntine, W., Grobelnik, M., Shawe-Taylor, J. (2009). Guest editors' introduction: Special issue of selected papers from ECML PKDD 2009. DATA MINING AND KNOWLEDGE DISCOVERY, 19 (2), 173-175. doi:10.1007/s10618-009-0143-4
Kołcz, A., Mladenić, D., Buntine, W., Grobelnik, M., Shawe-Taylor, J. (2009). Guest editors' introduction: Special issue from ECML PKDD 2009. MACHINE LEARNING, 76 (2-3), 175-177. doi:10.1007/s10994-009-5138-2
Lise, L., Archambeau, C., Pontil, M., Jones, D.T. (2009). Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods. .
Lounici, K., Pontil, M., Tsybakov, A.B., van de Geer, S. (2009). Taking advantage of sparsity in multi-task learning. Technical Report, ETH Zurich .
Lounici, K., Pontil, M., Tsybakov, A.B., van de Geer, S.A. (2009). Taking advantage of sparsity in multi-task learning.
Maei, H.R., Szepesvári, C., Bhatnagar, S., Precup, D., Silver, D., Sutton, R.S. (2009). Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation.
Ma, J., Liu, W., Hunter, A. (2009). The non-archimedean polynomials and merging of stratified knowledge bases. SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS, 5590 408-+.
Martinez, M.V., Hunter, A. (2009). Incorporating classical logic argumentation into policy-based inconsistency management in relational databases. AAAI Fall Symposium - Technical Report, FS-09-06 52-57.
Maurer, M., Pontil, M. (2009). Empirical Bernstein bounds and sample-variance penalization.
May, K., Zhaoping, L. (2009). Effects of surrounding frame on visual search for vertical or tilted bars.. Journal of Vision, 9 (13), 1-19. doi:10.1167/9.13.20
Mesot, B., Barber, D. (2009). A Simple Alternative Derivation of the Expectation Correction Algorithm. IEEE SIGNAL PROCESSING LETTERS, 16 (1-3), 121-124. doi:10.1109/LSP.2008.2008569
Mesot, B., Barber, D. (2009). A simple alternative derivation of the expectation correction algorithm. IEEE Signal Processing Letters, 16 (2), 121-124. doi:10.1109/LSP.2008.2008569
Meza-Ruiz, I., Riedel, S. (2009). Multilingual semantic role labelling with Markov logic.
Meza-Ruíz, I.V., Riedel, S. (2009). Jointly Identifying Predicates, Arguments and Senses using Markov Logic..
Özöğür-Akyüz, S., Hussain, Z., Shawe-Taylor, J. (2009). Prediction with the SVM using test point margins. Annals of Information Systems, 8 147-158. doi:10.1007/978-1-4419-1280-0_7
Özöǧür-Akyüz, S., Shawe-Taylor, J., Weber, G.W., Ögel, Z.B. (2009). Pattern analysis for the prediction of fungal pro-peptide cleavage sites. DISCRETE APPLIED MATHEMATICS, 157 (10), 2388-2394. doi:10.1016/j.dam.2008.06.043
Riedel, S. (2009). Cutting Plane MAP Inference for Markov Logic.
Riedel, S., Chun, H.-.W., Takagi, T., Tsujii, J.I. (2009). A Markov Logic Approach to Bio-Molecular Event Extraction.
Riedel, S., Clarke, J. (2009). Revisiting Optimal Decoding for Machine Translation IBM Model 4..
Schenker, I., Filser, F.T., Gauckler, L.J., Aste, T., Herrmann, H.J. (2009). Quantification of the heterogeneity of particle packings.. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 80 (2), doi:10.1103/PhysRevE.80.021302
Shawe-Taylor, J. (2009). Technical perspective: Machine learning for complex predictions. COMMUNICATIONS OF THE ACM, 52 (11), 96. doi:10.1145/1592761.1592782
Shawe-Taylor, J. (2009). Machine Learning for Complex Predictions. COMMUNICATIONS OF THE ACM, 52 (11), 96. doi:10.1145/1592761.1592782
Shawe-Taylor, J., Hardoon, D. (2009). PAC-Bayes Analysis of Maximum Entropy Learning.
Shawe-Taylor, J., Hardoon, D.R. (2009). PAC-Bayes Analysis Of Maximum Entropy Classification.. AISTATS, 5 480-487.
Silver, D., Tesauro, G. (2009). Monte-Carlo Simulation Balancing.
Specia, L., Turchi, M., Wang, Z., Shawe-Taylor, J., Saunders, C. (2009). Improving the Confidence of Machine Translation Quality Estimates.
Sutton, R.S., Maei, H.R., Precup, D., Bhatnagar, S., Silver, D., Szepesvári, C., Wiewiora, E. (2009). Fast gradient-descent methods for temporal-difference learning with linear function approximation..
Veness, J., Silver, D., Uther, W.T.B., Blair, A. (2009). Bootstrapping from Game Tree Search.
Wang, Z., Shawe-Taylor, J. (2009). Kernel Based Machine Translation. In Goutte, C., Cancedda, N., Dyteman, M., Foster, G. (Eds.), Learning Machine Translation. MIT Press.
Wang, Z., Shawe-Taylor, J. (2009). Large-Margin Structured Prediction via Linear Programming.
Wells, J.C., Griffin, L., Treleaven, P. (2009). Independent changes in female body shape with parity and age:. Am J Hum Biol,
yan, W., clack, C.D. (2009). Behavioural GP diversity for adaptive stock selection.
Yoshikawa, K., Riedel, S., Asahara, M., Matsumoto, Y. (2009). Jointly Identifying Temporal Relations with Markov Logic..
Yoshikawa, K., Riedel, S., Asahara, M., Matsumoto, Y. (2009). Joint Inference of Temporal Relations with Markov Logic.
Zhaoping, L., Guyader, N., Lewis, A. (2009). Depth information does not speed up a texture segmentation task unless the required reaction time is longer than about 1 s: implications for the relative roles of striate and extra-striate cortices in input driven attentional guidance. PERCEPTION, 38 59.
Zhaoping, L.M.K.A.A.K.A. (2009). Some fingerprints of V1 mechanisms in the bottom up saliency for visual selection. In Dietmar, H.A.E.M. (Ed.), Computational modelling in behavioural neuroscience: closing the gap between neurophysiology and behaviour. Psychology Press.

2008

Abbott, D., Aste, T., Batchelor, M., Dewar, R., Di Matteo, T., Guttmann, T. (2008). Proceedings of SPIE: Complex Systems II: Introduction. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.786805
Ambroladze, A., Shawe-Taylor, J. (2008). The Ingredients of the Fundamental Theorem of Learning.
Anikeenko, A.V., Medvedev, N.N., Aste, T. (2008). Structural and entropic insights into the nature of the random-close-packing limit.. Physical review. E, Statistical, nonlinear, and soft matter physics, 77 (3 Pt 1), 031101-. doi:10.1103/physreve.77.031101
Anikeenko, A.V., Medvedev, N.N., Aste, T. (2008). Structural and entropic insights into the nature of the random-close-packing limit. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 77 (3), doi:10.1103/PhysRevE.77.031101
Argyriou, A., Evgeniou, T., Pontil, M. (2008). Convex Multi-Task Feature Learning. Machine Learning, 73 (3), 243-272. doi:10.1007/s10994-007-5040-8
Argyriou, A., Maurer A, P.M. (2008). An Algorithm for Transfer Learning in a Heterogeneous Environment.
Argyriou, A., Maurer, A., Pontil, M. (2008). An algorithm for transfer learning in a heterogeneous environment.
Argyriou, A., Micchelli, C.A., Pontil, M. (2008). When is there a representer theorem? Vector versus matrix regularizers. CoRR, abs/0809.1590
Argyriou, A., Micchelli, C.A., Pontil, M., Ying, Y. (2008). A Spectral Regularization Framework for Multi-Task Structure Learning.
Aste, T., Delaney, G., Di Matteo, T. (2008). Understanding complex matter from simple packing models. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.759030
Aste, T., Di Matteo, T. (2008). Emergence of Gamma distributions in granular materials and packing models.. Physical review. E, Statistical, nonlinear, and soft matter physics, 77 (2 Pt 1), 021309-. doi:10.1103/physreve.77.021309
Aste, T., Di Matteo, T. (2008). Emergence of Gamma distributions in granular materials and packing models. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 77 (2), doi:10.1103/PhysRevE.77.021309
Aste, T., Matteo, T.D. (2008). Structural transitions in granular packs: statistical mechanics and statistical geometry investigations. European Physical Journal B, 64 (3-4), 511-517. doi:10.1140/epjb/e2008-00224-8
Aste, T., Weaire, D. (2008). The Pursuit of Perfect Packing, Second Edition. Taylor & Francis.
Barber, D. (2008). Clique matrices for statistical graph decomposition and parameterising restricted positive definite matrices. Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008, 26-33.
Bartolozzi, M., Mellen, C., Chan, F., Oliver, D., Matteo, T.D., Aste, T. (2008). Applications of physical methods in high-frequency futures markets. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.758431
Besnard, P., Doutre, S., Hunter, A. (Eds.), (2008). Computational Models of Argument: Proceedings of COMMA'08. IOS Press.
Besnard, P., Hunter, A. (2008). Elements of Argumentation. MIT Press.
Besnard, P., Hunter, A., Woltran, S. (2008). Encoding Deductive Argumentation in Quantified Boolean Formulae.
Black, E., Hunter, A. (2008). Using enthymemes in an inquiry dialogue system.
Black, E., Hunter, A. (2008). Using enthymemes in an inquiry dialogue system. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1 430-437.
Caponnetto, A., Micchelli, C.A., Pontil, M., Ying, Y. (2008). Universal multi-task kernels. Journal of Machine Learning Research, 9 1615-1646. doi:10.1145/1390681.1442785
Chen, C.-.C., Nagl, S., Clack, C. (2008). Multi-level behaviours in agent-based simulation: colonic crypt cell populations.
Chen, C.-.C., Nagl, S., Clack, C. (2008). A method for validating and discovering associations between multi-level emergent behaviours in agent-based simulations. Lecture Notes in Computer Science, 4953 1-10. doi:10.1007/978-3-540-78582-8
CLACK, C. (2008). Sex, Death and Profit: a Darwinian View of Stock Selection.
CLACK, C. (2008). Financial Evolutionary Computing.
CLACK, C. (2008). Challenges in Grid Computing.
Delaney, G.W., Hutzler, S., Aste, T. (2008). Relation between grain shape and fractal properties in random Apollonian packing with grain rotation.. Physical Review Letters, 101 (12), doi:10.1103/PhysRevLett.101.120602
Delaney, G.W., Inagaki, S., Di Matteo, T., Aste, T. (2008). Virtual experiments on complex materials. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.759412
Efstathiou, V., Hunter, A. (2008). Algorithms for effective argumentation in classical propositional logic: A connection graph approach.
Efstathiou, V., Hunter, A. (2008). Focused search for Arguments from Propositional Knowledge..
Efstathiou, V., Hunter, A. (2008). Focused search for arguments from propositional knowledge.
Efstathiou, V., Hunter, A. (2008). Algorithms for effective argumentation in classical propositional logic.
Gegov, A., Gegov, E., Treleaven, P. (2008). Advanced modelling of retail pricing by fuzzy networks.
Gelly, S., Silver, D. (2008). Achieving Master Level Play in 9 x 9 Computer Go.
Gillies, M., Pan, X., Slater, M., Shawe-Taylor, J. (2008). Responsive Listening Behavior. Computer Animation and Virtual Worlds, 19 (5), 579-589.
Gorogiannis, N., Hunter, A. (2008). Implementing semantic merging operators using binary decision diagrams. International Journal of Approximate Reasoning, 49 (1), 234-251. doi:10.1016/j.ijar.2008.03.008
Gorogiannis, N., Hunter, A. (2008). Merging first-order knowledge using dilation operators.
Grant, J., Hunter, A. (2008). Analysing inconsistent first-order knowledgebases. Artificial Intelligence, 172 1064-1093. doi:10.1016/j.artint.2007.11.006
Hardoon, D.R., Mourao-Miranda, J., Brammer, M., Shawe-Taylor, J. (2008). Using image stimuli to drive fMRI analysis.
Hassan, G., Clack, C. (2008). Multiobjective Robustness for Portfolio Optimization in Volatile Environments.
Herbster, M.J. (2008). Exploiting cluster-structure to predict the labeling of a graph.
Herbster, M.J. (2008). A Linear Lower Bound for the Perceptron forInput Sets of Constant Cardinality. .
Herbster, M.J., Lever, G., Pontil, M. (2008). Online prediction on large diameter graphs.
Herbster, M.J., Pontil M, L., Rojas Galeano, S. (2008). Fast Prediction on a Tree.
Hunter, A. (2008). Reasoning about the appropriateness of proponents for arguments.
Hunter, A., Konieczny, S. (2008). Measuring inconsistency through minimal inconsistent sets.
Hunter, A., Liu, W. (2008). A context-dependent algorithm for merging uncertain information in possibility theory. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 38 (6), 1385-1397. doi:10.1109/TSMCA.2008.2003457
Hussain, Z., Shawe-Taylor, J. (2008). Using Generalization Error Bounds to Train the Set Covering Machine.
Jerkins, M., Schröter, M., Swinney, H.L., Senden, T.J., Saadatfar, M., Aste, T. (2008). Onset of mechanical stability in random packings of frictional spheres.. Physical Review Letters, 101 (1), doi:10.1103/PhysRevLett.101.018301
Jingling, L., Zhaoping, L. (2008). Change detection is easier at texture border bars when they are parallel to the border: evidence for V1 mechanisms of bottom-up salience. Perception, 37 (2), 197-206. doi:10.1068/p5829
Liu, R., Aste, T., Di Matteo, T. (2008). Multi-scaling modelling in financial markets. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.759585
Ma, J., Liu, W., Hunter, A., Zhang, W. (2008). Performing meta-analysis with incomplete statistical information in clinical trials. BMC Medical Research Methodology, 8 doi:10.1186/1471-2288-8-56
Mann, A., Hunter, A. (2008). Argumentation using temporal knowledge.
Maurer, A., Pontil, M. (2008). A Uniform Lower Error Bound for Half-Space Learning.
Maurer, A., Pontil, M. (2008). Generalization bounds for k-dimensional coding schemes in Hilbert spaces.
Meza-Ruiz, I., Riedel, S., Lemon, O. (2008). Spoken Language Understanding in dialogue systems, using a 2-layer Markov Logic Network: improving semantic accuracy.
Meza-Ruíz, I.V., Riedel, S., Lemon, O. (2008). Accurate statistical spoken language understanding from limited development resources..
Pontil, M. (2008). Spectral Regularization for Multi-task Learning.
Pozzi, F., Aste, T., Rotundo, G., Di Matteo, T. (2008). Dynamical correlations in financial systems. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.758822
Pozzi, F., Di Matteo, T., Aste, T. (2008). CENTRALITY AND PERIPHERALITY IN FILTERED GRAPHS FROM DYNAMICAL FINANCIAL CORRELATIONS. ADVANCES IN COMPLEX SYSTEMS, 11 (6), 927-950.
Riedel, S. (2008). Improving the Accuracy and Efficiency of MAP Inference for Markov Logic..
Riedel, S., Meza-Ruiz, I. (2008). Collective semantic role labelling with Markov logic.
Saunders, C., Hardoon, D., Shawe-Taylor, J., Widmer, G. (2008). Using String Kernels to Identify Famous Performers from their Playing Style. Intelligent Data Analysis, 12 (4), 425-440.
Schenker, I., Filser, F.T., Aste, T., Gauckler, L.J. (2008). Microstructures and Mechanical Properties of Dense Particle Gels: Microstructural Characterization. Journal of the European Ceramic Society, 28 (7), 1443-1449. doi:10.1016/j.jeurceramsoc.2007.12.007
Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J., Barillec, R. (2008). A Comparison of Variational and Markov Chain Monte Carlo Methods for Inferencein Partially Observed Stochastic Dynamic Systems. Journal of Signal Processing Systems,
Silver, D., Sutton, R., Müller, M. (2008). Sample-Based Learning and Search with Permanent and Transient Memories.
Song, W.M., Aste, T., Di Matteo, T. (2008). Correlation-based biological networks. Proceedings of SPIE - The International Society for Optical Engineering, 6802 doi:10.1117/12.759252
Tzanis, E., Hirsch, R. (2008). Probabilistic Logic over Paths.. Electronic Notes in Theoretical Computer Science, 220 (3), 79-96. doi:10.1016/j.entcs.2008.11.020
Wang, Z., Shawe-Taylor, J. (2008). Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task.
Wells, J.C., Cole, T.J., Treleaven, P. (2008). Age-variability in Body Shape Associated With Excess Weight: The UK National Sizing Survey. Obesity.(Silver.Spring), 16 (2), 435-441.
Wells, J.C.K., Cole, T.J., Bruner, D., Treleaven, P. (2008). Body shape in American and British adults: between-country and inter-ethnic comparisons. International Journal of Obesity, 32 (1), 152-159.
Wells, J.C.K., Treleaven, P. (2008). Ethnic variability in body shape by 3D photonic scanning.
Wells, J.C., Ruto, A., Treleaven, P. (2008). Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice. International Journal of Obesity, 32 232-238.
Willis, A., Patel, S., Clack, C.D. (2008). GP Age-layer and Crossover Effects in Bid-Offer Spread Prediction.
Yan, W., Sewell, M., Clack, C. (2008). Learning to optimize profits beats predicting returns - comparing techniques for financial portfolio optimisation.
Ying, Y., Pontil, M. (2008). Online Gradient Descent Learning Algorithms. Foundations of Computational Mathematics, 8 (5), 561-596.
Yue, A., Liu, W., Hunter, A. (2008). Measuring the ignorance and degree of satisfaction for answering queries in imprecise probabilistic logic programs. SCALABLE UNCERTAINTY MANAGEMENT, SUM 2008, 5291 386-+.
Zhaoping, L. (2008). After-search --- visual search by gaze shifts after input image vanishes.. 8 (14), 26:1-26:11.
Zhaoping, L. (2008). Attention capture by eye of origin singletons even without awareness --- a hallmark of a bottom-up saliency map in the primary visual cortex.. Journal of Vision, 8 (5), 1:1-1:18. doi:10.1167/8.5.1
Zhaoping, L., Jingling, L. (2008). Filling-In and Suppression of Visual Perception from Context: A Bayesian Account of Perceptual Biases by Contextual Influences. PLoS Computational Biology, 4 (2), e14-. doi:10.1371/journal.pcbi.0040014

2007

(2007). Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings.
Altun, H., Shawe-Taylor, J., Polat, G. (2007). New feature selection frameworks in emotion recognition to evaluate the informative power of speech related features.
Altun, H., Shawe-Taylor, J., Polat, G. (2007). New feature selection frameworks in emotion recognition to evaluate the informative power of speech related features..
Ambroladze, A., Parrado-Hernandez, E., Shawe-Taylor, J. (2007). Tighter PAC-Bayes Bounds.
Ambroladze, A., Parrado-Hernández, E., Shawe-Taylor, J. (2007). Complexity of pattern classes and the Lipschitz property. THEORETICAL COMPUTER SCIENCE, 382 (3), 232-246. doi:10.1016/j.tcs.2007.03.047
Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J. (2007). Gaussian Process Approximations of Stochastic Differential Equations. Journal of Machine Learning Research Workshop and Conference Proceedings, 1 1-16.
Archambeau, C., Opper, M., Shen, Y., Cornford, D., Shawe-Taylor, J. (2007). Variational Inference for Diffusion Processes.
Argyriou, A., Evgeniou, T., Pontil, M. (2007). Multi-Task Feature Learning.
Aste, T., Di Matteo, T. (2007). Correlations and aggregate statistics in granular packs.. European Physical Journal E, 22 (3), 235-240. doi:10.1140/epje/e2007-00033-x
Aste, T., Di Matteo, T. (Eds.), (2007). Granular And Complex Materials. World Scientific Publishing Company Incorporated.
Aste, T., Matteo, T.D., Saadatfar, M., Senden, T.J., Schroter, M., Swinney, H.L. (2007). An invariant distribution in static granular media. EPL, 79 (2), doi:10.1209/0295-5075/79/24003
Bartolozzi, M., Mellen, C., Matteo, T.D., Aste, T. (2007). Multi-scale correlations in different futures markets. European Physical Journal B, 58 (2), 207-220. doi:10.1140/epjb/e2007-00216-2
Black, E., Hunter, A. (2007). A generative inquiry dialogue system. Proceedings of the International Conference on Autonomous Agents, 1014-1021. doi:10.1145/1329125.1329417
Black, E., Hunter, A. (2007). A generative inquiry dialogue system.
Cesa-Bianchi, N., Grunwald, P., Gunn, S., Sebag, M., Shawe-Taylor, J., Triggs, B. (2007). Managing a Large network of excellence: Case Study of the PASCAL Network. .
Chen, C., Clack, C., Nagl, S.B. (2007). Context sensitivity in individual-based modeling. BMC Systems Biology, 1 (Suppl 1), 44-. doi:10.1186/1752-0509-1-S1-P44
Chen, C.C., Nagl, S.B., Clack, C.D. (2007). Specifying, Detecting and Analysing Emergent Behaviours in Multi-Level Agent-Based Simulations.
Chen, C., Nagl, S., Clack, C. (2007). A calculus for multi-level emergent behaviours in component-based systems and simulations.
Chiappa, S., Barber, D. (2007). EEG classification using generative independent component analysis. Neurocomputing, 69 (7-9), 769-777. doi:10.1016/j.neucom.2005.12.028
Chiappa, S., Barber, D. (2007). Output grouping using dirichlet mixtures of linear Gaussian state-space models. PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, 446-+.
Chiappa, S., Barber, D. (2007). Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition. Signal Processing Letters, 14 (4), 267-270. doi:10.1109/LSP.2006.881515
Chiotis, T., Clack, C. (2007). Nonlinearity linkage detection for financial time series analysis.
Cristianini, N., Shawe-Taylor, J., Saunders, C. (2007). Kernel Methods: A Paradigm for Pattern Analysis. In In Camps-Valls, G., Rojo-Alvarez, J., Martinez-Ramon, M. (Eds.), Kernel Methods in Bioengineering, Signal and Image Processing. (pp. 1-40). IDEA Group Publishing.
Diethe, T., Shawe-Taylor, J. (2007). Linear Programming Boosting for the Classification of Musical Genre.
Di Matteo, T., Aste, T. (2007). "No worries": Trends in Econophysics. European Physical Journal B, 55 (2), 121-122. doi:10.1140/epjb/e2007-00047-1
Dolia, A., Harris, C., Shawe-Taylor, J., Titterington, M. (2007). Kernal Ellipsoid Trimming. Computational Statistics and Data Analysis, 52 (1), 309-324.
Duke, J., Clack, C. (2007). Evolutionary simulation of hedging pressure in futures markets.
Duke, J., Clack, C. (2007). Using an evolutionary agent-based simulation to explore hedging pressure in futures markets.
Evgeniou, T.P., M, T., O. (2007). A convex optimization approach to modeling heterogeneity in conjoint estimation. Marketing Science, 26 (6), 805-818. doi:10.1287/mksc.1070.0291
Garlaschelli, D., Matteo, T.D., Aste, T., Caldarelli, G., Loffredo, M.I. (2007). Interplay between topology and dynamics in the World Trade Web. European Physical Journal B, 57 (2), 159-164. doi:10.1140/epjb/e2007-00131-6
Gelly, S., Silver, D. (2007). Combining Online and Offline Learning in UCT.
Hackworth, T., Treleaven, P.C. (2007). Modelling Terrorism..
Hardoon, D., Mourao-Miranda, J., Brammer, M., Shawe-Taylor, J. (2007). Unsupervised Analysis of fMRI Data Using Kernel Canonical Correlation. NeuroImage, 37 (4), 1250-1259. doi:10.1016/j.neuroimage.2007.06.017
Hardoon, D., Mourao-Miranda, J., Brammer, M., Shawe-Taylor, J. (2007). Using Image Stimuli to Drive fMRI Analysis.
Hardoon, D.R., Mourao-Miranda, J., Brammer, M., Shawe-Taylor, J. (2007). Unsupervised analysis of fMRI data using kernel canonical correlation. NEUROIMAGE, 37 (4), 1250-1259. doi:10.1016/j.neuroimage.2007.06.017
Hardoon, D.R., Shawe-Taylor, J., Ajanki, A., Puolamäki, K., Kaski, S. (2007). Information Retrieval by Inferring Implicit Queries from Eye Movements.
Herbster, M.J., Galeano, S.R. (2007). A fast method to predict the labeling of a tree.
Herbster, M.J., Pontil, M. (2007). Prediction on a Graph with the Perceptron.
Herbster, M., Pontil, M. (2007). Prediction on a Graph with a Perceptron..
Hirsch, L., Hirsch, R., Saeedi, M. (2007). Evolving Lucene Search Queries for Text Classification.
Hirsch, R. (2007). Peirce algebras and boolean modules. JOURNAL OF LOGIC AND COMPUTATION, 17 (2), 255-283. doi:10.1093/logcom/ex1037
Hirsch, R. (2007). Relation algebra reducts of cylindric algebras and complete representations.. Journal of Symbolic Logic, 72 (2), 673-703. doi:10.2178/jsl/1185803629
Hirsch, R. (2007). Peirce algebras and Boolean modules. Journal of Logic and Computation, 17 (2), 255-283. doi:10.1093/logcom/exl037
Hirsch, R., Hodkinson, I. (2007). Games in Algebraic Logic: Axiomatisations and Beyond. Studies in Logic, 11
Hirsch, R., Mikulas, S. (2007). Representable semilattice ordered monoids. Algebra Universalis, 57 (3), 333-370. doi:10.1007/s00012-007-2055-8
Hulme, D.J., Hirsch, R., Buxton, B.F., Lotto, R.B. (2007). A new reduction from 3SAT to n-partite graphs.
Hunter, A. (2007). Real arguments are approximate arguments.
Hussain, Z., Laviolette, F., Marchand, M., Shawe-Taylor, J., Brubaker, S.C., Mullin, M.D. (2007). Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data. Journal of Machine Learning Research, 8 2533-2549.
Koene AR Zhaoping, L. (2007). Feature-specific interactions in salience from combined feature contrasts: evidence for a bottom-up saliency map in V1.. Journal of Vision, 7 (7), 6,1-6.14.
Li, Y., Shawe-Taylor, J. (2007). Advanced learning algorithms for cross-language patent retrieval and classification. INFORMATION PROCESSING & MANAGEMENT, 43 (5), 1183-1199. doi:10.1016/j.ipm.2006.11.005
Ma, J., Liu, W., Hunter, A. (2007). Incomplete statistical information fusion and its application to clinical trials data.
Mesot, B., Barber, D. (2007). Switching Linear Dynamical Systems for Noise Robust Speech Recognition.. IEEE Transactions on Audio, Speech and Language Processing, 15 (6), 1850-1858. doi:10.1109/TASL.2007.901312
Micchelli, C.A., Pontil, M. (2007). Feature space perspectives for learning the kernel. Machine Learning, 66 297-319. doi:10.1007/s10994-006-0679-0
Ng, J., Bharath, A.A., Zhaoping, L. (2007). A survey of architecture and function of the primary visual cortex (V1). EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, doi:10.1155/2007/97961
Ng, J., Bharath, A., Zhaoping, L. (2007). A survey of architecture and function of the primary visual cortex (V1). EURASIP Journal on Applied Signal Processing, 2007 (1), 124-. doi:10.1155/2007/97961
Nivre, J., Hall, J., Kübler, S., McDonald, R.T., Nilsson, J., Riedel, S., Yuret, D. (2007). The CoNLL 2007 Shared Task on Dependency Parsing..
Patel, S., Clack, C.D. (2007). ALPS evaluation in Financial Portfolio Optmisation.
Pelckmans, K., Shawe-Taylor, J., Suykens, J.A.K., De Moor, B. (2007). Margin based transductive graph cuts using linear programming.
Perez-Cruz, F., Ghahramani, Z., Pontil, M. (2007). Conditional graphical models. In Bakir, G., Hofmann, T., Schölkopf, B., Smola, A.J., Taskar, B., Vishwanathan, S.V.N. (Eds.), Predicting Structured Data. MIT Press.
Qi, G., Hunter, A. (2007). Measuring Incoherence in Description Logic-Based Ontologies.
Shawe-Taylor, J., Dolia, A. (2007). A framework for probability density estimation.
SHAWE-TAYLOR, J., Fortuna, B., Cristianini, N. (2007). A Kernel Canonical Correlation Analysis for Learning the Semantics of Text. In Rojo-Alvarez, G., In Camps-Valls, G., Rojo-Alvarez, J., Martinez-Ramon, M. (Eds.), Kernel Methods in Bioengineering, Signal and Image Processing. (pp. 263-282). .
Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J., Barillec, R. (2007). Evaluation of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems.
Silver, D., Sutton, R., Müller, M. (2007). Reinforcement Learning of Local Shape in the Game of Go.
Sutton, R.S., Koop, A., Silver, D. (2007). On the role of tracking in stationary environments.
Szedmak, S., Shawe-Taylor, J. (2007). Synthesis of maximum margin and multiview learning using unlabeled data. NEUROCOMPUTING, 70 (7-9), 1254-1264. doi:10.1016/j.neucom.2006.11.012
Treleaven, P.C., Wells, J.C.K. (2007). 3D Body Scanning and Heathcare Applications. Computer, 40 (7), 28-34. doi:10.1109/MC.2007.225
Tsampouka, P., Shawe-Taylor, J. (2007). Approximate maximum margin algorithms with rules controlled by the number of mistakes. ACM International Conference Proceeding Series, 227 903-910. doi:10.1145/1273496.1273610
Tumminello, M., Matteo, T.D., Aste, T., Mantegna, R.N. (2007). Correlation based networks of equity returns sampled at different time horizons. European Physical Journal B, 55 (2), 209-217. doi:10.1140/epjb/e2006-00414-4
Wang, Z., Shawe-Taylor, J., Szedmak, S. (2007). Kernel Regression Based Machine Translation.
Wang, Z., Shawe-Taylor, J., Szedmak, S. (2007). Kernel regression based machine translation.
Wells, J.C.K., Cole, T.J., Bruner, D., Treleaven, P. (2007). Body Shape in American and British Adults: between-country and inter-ethnic comparisons. International Journal of Obesity, 31 1-8. doi:10.1038/sj.ijo.0803685
Wells, J.C.K., Treleaven, P.C., Cole, T.J. (2007). BMI compared with 3-dimensional body shape: the UK National Sizing Survey.. American Journal of Clinical Nutrition, 85 (2), 419-425.
Williams, M., Hunter, A. (2007). Harnessing ontologies for argument-based decision-making in breast cancer.
Yan, W., Clack, C.D. (2007). Evolving robust GP solutions for hedge fund stock selection in emerging markets.
Yan, W., Clack, C.D. (2007). Diverse committees vote for dependable profits.
Yue, A., Liu, W., Hunter, A. (2007). Approaches to constructing a stratified merged knowledge base.
Zhaoping, L. (2007). Colour categories, colour constancy, and lightness perception from information theory. PERCEPTION, 36 201-202.
Zhaoping, L., Guyader, N. (2007). Interference with bottom-up feature detection by higher-level object recognition. Current Biology, 17 (1), 26-31. doi:10.1016/j.cub.2006.10.050
Zhaoping, L., May, K.A. (2007). Psychophysical tests of the hypothesis of a bottom-up saliency map in primary visual cortex. PLOS COMPUTATIONAL BIOLOGY, 3 (4), 616-633. doi:10.1371/journal.pcbi.0030062
Zhaoping, L., May, K.A. (2007). Psychophysical tests of the hypothesis of a bottom-up saliency map in primary visual cortex. PLoS Computational Biology, 3 (4), e62-. doi:10.1371/journal.pcbi.0030062

2006

(2006). Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers.
Agranoff, D., Fernandez-Reyes, D., Papadopoulos, M., Rojas, S., Herbster, M., Loosemore, A., ...Pollok, R. (2006). Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum. The Lancet, 368 (9540), 1012-1021. doi:10.1016/S0140-6736(06)69342-2
Argyriou, A., Hauser, R., Micchelli, C.A., Pontil, M. (2006). A DC-programming algorithm for kernel selection.
Argyriou, A., Hauser, R., Micchelli, C.A., Pontil, M. (2006). A DC-programming algorithm for kernel selection. ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning, 2006 41-48.
Argyriou, A., Herbster, M., Pontil, M. (2006). Combining graph laplacians for semi--supervised learning.
Aste, T. (2006). Volume fluctuations and geometrical constraints in granular packs.. Physical Review Letters, 96 (1), doi:10.1103/PhysRevLett.96.018002
Aste, T., Di Matteo, T. (2006). Dynamical networks from correlations. Physica A: Statistical Mechanics and its Applications, 370 (1), 156-161. doi:10.1016/j.physa.2006.04.019
Aste, T., Di Matteo, T. (2006). Materials and Complexity: Emergence of structural complexity in sphere packings. Proceedings of SPIE - The International Society for Optical Engineering, 6039 doi:10.1117/12.637534
Aste, T., Di Matteo, T. (2006). Nanometric architectures: Emergence of efficient non-crystalline atomic organization in nanostructures. 32-56. doi:10.1533/9781845691189
Aste, T., Saadatfar, M., Senden, T.J. (2006). Local and Global relations between the number of contacts and density in monodisperse sphere packs. Journal of Statistical Mechanics: Theory and Experiment, (7), doi:10.1088/1742-5468/2006/07/P07010
Barber, D. (2006). Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems. Journal of Machine Learning Research, 7 2515-2540.
Barber, D., Chiappa, S. (2006). Unified Inference for Variational Bayesian Linear Gaussian State-Space Models.
Barber, D., Chiappa, S. (2006). Unified Inference for Variational Bayesian Linear Gaussian State-Space Models..
Barber, D., Mesot, B. (2006). A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems..
Besnard, P., Hunter, A. (2006). Knowledgebase compilation for efficient logical argumentation.
Cemgil, A.T., Kappen, H.J., Barber, D. (2006). A Generative Model for Music Transcription. Transactions on Speech and Audio Processing, 14 (2), 679-694. doi:10.1109/TSA.2005.852985
Chiappa, S., Barber, D. (2006). EEG Classification using Generative Independent Component Analysis. Neurocomputing, 69 (7-9), 769-777. doi:10.1016/j.neucom.2005.12.028
Clack, C. (2006). BioScience Computing and the role of computational simulation in biology and medicine. In Verhaegh, W., Aarts, E., Korst, J. (Eds.), Intelligent Algorithms in Ambient and Biomedical Computing. (pp. 3-19). Springer.
Coffin, D.J., Clack, C.D. (2006). gLINC: identifying composability using group perturbation.
Dhanjal, C., Gunn, S., Shawe-Taylor, J. (2006). .
Di Matteo, T., Aste, T. (2006). Editorial. Physica A: Statistical Mechanics and its Applications, 370 (1), doi:10.1016/j.physa.2006.04.017
Di Matteo, T., Aste, T. (2006). Extracting the correlation structure by means of planar embedding. Proceedings of SPIE - The International Society for Optical Engineering, 6039 doi:10.1117/12.637543
Dolia, A.N., Bie, T.D., Harris, C.J., Shawe-Taylor, J., Titterington, D.M. (2006). The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces..
Everingham, M., Zisserman, A., Williams, C., Van, G.L., Allan, M., Bishop, C., ...Dorkó, G. (2006). The 2005 PASCAL Visual Object Classes Challenge. In Quiñonero-Candela, J., Dagan, I., Magnini, B., F, D.A.-.B. (Eds.), Machine Learning Challenges. (pp. 117-176). Springer Berlin / Heidelberg.
Hardoon, D., Farquhar, J.D.R., Meng, H., Shawe-Taylor, J., Szedmak, S. (2006). Two view learning: SVM-2K, Theory and Practice.
Hardoon, D., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2006). A Correlation Approach for Automatic Image Annotation.
Hunter, A. (2006). Presentation of arguments and counterarguments for tentative scientific knowledge.
Hunter, A. (2006). How to act on inconsistent news: Ignore, resolve, or reject. Data and Knowledge Engineering, 57 221-239.
Hunter, A. (2006). Presentation of arguments and counterarguments for tentative scientific knowledge. In Argumentation in Multi-agent Systems. (pp. 253-263). Springer.
Hunter, A. (2006). Contouring of knowledge for intelligence searching for arguments.
Hunter, A. (2006). Approximate arguments for efficiency in logical argumentation.
Hunter, A., Grant, J. (2006). Measuring inconsistency in knowledgebases. Journal of Intelligent Information Systems, 27 159-184.
Hunter, A., Konieczny, S. (2006). Shapley inconsistency values.
Hunter, A., Liu, W. (2006). A logical reasoning framework for modelling and merging uncertain semi-structured information. In Bouchon-Meunier, B., Coletti, G., Yager, R. (Eds.), Modern Information Processing: From Theory to Applications. .
Hunter, A., Liu, W. (2006). Fusion rules for merging uncertain information. Information Fusion, 7 (1), 97-134.
Hunter, A., Liu, W. (2006). Merging uncertain information with semantic heterogeneity in XML. Knowledge and Information Systems, 9 (2), 230-258.
Hunter, A., Summerton, R. (2006). Merging news reports that describe events. Data and Knowledge Engineering, 59 1-24.
Hunter, A., Summerton, R. (2006). A knowledgebased approach to merging information. Knowledge-Based Systems, 19 647-674.
Jingling, L., Zhaoping, L. (2006). Orientation texture bars along an edge of a texture are more salient when they are parallel to the edge: Evidence from change detection. PERCEPTION, 35 71-72.
Keene, A.R., Zhaoping, L. (2006). Salience from combined feature contrasts: Evidence for feature-specific salience interaction suggestive of V1 mechanisms. PERCEPTION, 35 233.
Lehmann, A., Shawe-Taylor, J. (2006). A probabilistic model for text kernels.
Lewis, A., Zhaoping, L. (2006). Are cone sensitivities determined by natural color statistics?. JOURNAL OF VISION, 6 (3), 285-302. doi:10.1167/6.3.8
Lewis, A., Zhaoping, L. (2006). Are cone sensitivities determined by natural color statistics?. Journal of Vision, 6 (3), 285-302. doi:10.1167/6.3.8
Otto, T.U., Herzog, M.H., Fahle, M., Zhaoping, L. (2006). Perceptual learning with spatial uncertainties. Vision Research, 46 (19), 3223-3233. doi:10.1016/j.visres.2006.03.021
Perrow, M., Barber, D. (2006). Tagging of name records for genealogical data browsing..
Pfister, J.-.P., Toyiozumi, T., Barber, D., Gerstner, W. (2006). Optimal spike-timing dependent plasticity for precise action potential firing in supervised learning.. Neural Computation, 18 (6), 1318-1348. doi:10.1162/neco.2006.18.6.1318
Pontil, M., Ying, Y., Zhou, D.-.X. (2006). Error analysis for online gradient descent algorithms in reproducing kernel Hilbert spaces.
Riedel, S., Çakici, R., Meza-Ruiz, I. (2006). Multi-lingual dependency parsing with incremental integer linear programming.
Riedel, S., Clarke, J. (2006). Incremental Integer Linear Programming for Non-projective Dependency Parsing..
Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2006). Learning Hierarchical Multi-Category Text Classification Models. Journal of Machine Learning Research, 7 1601-1626.
Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2006). Kernel-Based Learning of Hierarchical Multilabel Classification Models. Journal of Machine Learning Research, 7 1601-1626.
Saunders, C.J., Gunn, S.R., Grobelnik, M., Shawe-Taylor, J., Eds, S. (2006). Subspace, Latent Structure and Feature Selection techniques. .
Shawe-Taylor, J., De Bie, T., Cristianini, N. (2006). Data mining, data fusion and information management. IEE Proceedings: Intelligent Transport Systems, 153 (3), doi:10.1049/ip-its:20060006
Shawe-Taylor, J., De Bil, T., Cristianini, N. (2006). Data mining, data fusion and information management. .
Silver, D. (2006). AI game programming wisdom 3. In Rabin, S. (Ed.), AI game programming wisdom 3. .
Szedmák, S., Shawe-Taylor, J. (2006). Synthesis of maximum margin and multiview learning using unlabeled data..
Treleaven, P., Emmott, S. (2006). Intelligent Media.
Treleaven, P., Furnham, A., Swami, V. (2006). The science of body metrics. The Psychologist, 19 416-419.
Tsampouka, P., Shawe-Taylor, J. (2006). Constant Rate Approximate Maximum Margin Algorithms. .
Tsampouka, P., Shawe-Taylor, J. (2006). Approximate Maximum Margin Algorithms with Rules Controlled by the Number of Mistakes. .
Yan, W., Clack, C.D. (2006). Behavioural GP diversity for dynamic environments: an application in hedge fund investment.
Zhaoping, L. (2006). Visual search with and without target object recognition. PERCEPTION, 35 163.
Zhaoping, L. (2006). Overcomplete representation for fast attentional selection by bottom - up salience in the primary visual cortex. PERCEPTION, 35 233.
Zhaoping, L. (2006). Theoretical Understanding of the early visual processes by data compression and data selection. Network: Computation in neural systems, 17 (4), 301-334. doi:10.1080/09548980600931995
Zhaoping, L., Dayan, P. (2006). Pre-attentive visual selection. Neural Networks, 19 (9), 1437-1439. doi:10.1016/j.neunet.2006.09.003
Zhaoping, L., Snowden, R.J. (2006). A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation.

2005

(2005). Inconsistency Tolerance [result from a Dagstuhl seminar].
Agakov, F.V., Barber, D. (2005). Kernelized Infomax Clustering..
Agakov, F.V., Barber, D. (2005). Auxiliary Variational Information Maximization for Dimensionality Reduction..
Ambroladze, A., Shawe-Taylor, J. (2005). Core Skills curriculum for Information Technology. .
Argyriou, A., Micchelli, C.A., Pontil, M. (2005). Learning Convex Combinations of Continuously Parameterized Basic Kernels.
Aste, T. (2005). Variations around disordered close packing. Journal of Physics Condensed Matter, 17 (24), doi:10.1088/0953-8984/17/24/001
Aste, T., Matteo, T.D., Hyde, S.T. (2005). Complex Networks on Hyperbolic Surfaces. Physica A: Statistical Mechanics and its Applications, 346 (1-2 SPEC. ISS.), 20-26. doi:10.1016/j.physa.2004.08.045
Aste, T., Matteo, T.D., Tumminello, M., Mantegna, R.N. (2005). Correlation filtering in financial time series. Proceedings of SPIE - The International Society for Optical Engineering, 5848 100-109. doi:10.1117/12.619185
Aste, T., Saadatfar, M., Senden, T.J. (2005). Geometrical structure of disordered sphere packings.. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 71 (6), doi:10.1103/PhysRevE.71.061302
Aste, T., Senden, T.J. (2005). The hierarchical properties of contact networks in granular packings. Powders and Grains 2005 - Proceedings of the 5th International Conference on Micromechanics of Granular Media, 1 37-40.
Aste, T., Valbusa, U. (2005). Ripples and Ripples: from Sandy Deserts to Ion-Sputtered Surfaces. New Journal of Physics, 7 doi:10.1088/1367-2630/7/1/122
Bentley, K., Clack, C. (2005). Morphological Plasticity: Environmentally Driven Morphogenesis.
Bentley, K., Clack, C. (2005). Morphological Plasticity: Environmentally Driven Morphogenesis. Lecture Notes in Computer Science, 3630 118-127. doi:10.1007/11553090_13
Bentley, K., clack, C.D. (2005). Morphological Plasticity: Environmentally Driven Morphogenesis. Lecture Notes in Computer Science, 3630 118-127.
Besnard, P., Hunter, A. (2005). Practical first-order argumentation.
Byrne, E., Hunter, A. (2005). Evaluating violations of expectations to find exceptional information. Data and Knowledge Engineering, 54 (2), 97-120. doi:10.1016/j.datak.2004.09.003
Chiappa, S., Barber, D. (2005). generative independent component analysis for EEG classification..
Costa, F., Frasconi, P., Menchetti, S., Pontil, M. (2005). Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters, 26 (12), 1896-1906. doi:10.1016/j.patrec.2005.03.011
Di Matteo, T., Aste, T., Hyde, S.T., Ramsden, S. (2005). Interest rates hierarchical structure.
Dolia, A., Harris, C., Shawe-Taylor, J., Titterington, D. (2005). Kernel Ellipsoidal Trimming. .
Elisseeff, A., Evgeniou, T., Pontil, M. (2005). Stability of randomized learning algorithms. Journal of Machine Learning Research, 6 55-79.
Evgeniou, T., Micchelli, C.A., Pontil, M. (2005). Learning multiple tasks with kernel methods. Journal of Machine Learning Research, 6 615-637.
Farquhar, J., Hardoon, D.R., MENG, H., Shawe-Taylor, J., Szedmák, S. (2005). Two view learning: SVM-2K, Theory and Practice.
Graepal, T., Herbrich, R., Shawe-Taylor, J. (2005). PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification. Machine Learning, 59 55-76.
Guyader, N., Jingling, L., Lewis, A.S., Zhaoping, L. (2005). Investigation of the relative contributions of 3-D and 2-D image cues in texture segmentation. PERCEPTION, 34 55.
Guyader, N., Jingling, L., Zhaoping, L. (2005). Stereo cue reduces interference by irrelevant orientations in bottom-up saliency. SPATIAL VISION, 18 (4), 509-510.
Henderson, M., Shawe-Taylor, J., Zerovnik, J. (2005). Mixture of Vector Experts.
Herbster, M.J., Pontil, M., Wainer, L. (2005). Online learning over graphs.
Hirsch, L., Hirsch, R., Saaedi, M. (2005). Evolving text classification rules with genetic programming. Journal of Applied Artificial Intelligence, 19 (7), 659-676. doi:10.1080/08839510590967307
Hirsch, L., Saeedi, M., Hirsch, R. (2005). Evolving rules for document classification. GENETIC PROGRAMMING, PROCEEDINGS, 3447 85-95.
Hirsch, R. (2005). The class of representable ordered monoids has a recursively enumerable, universal axiomatisation but it is not finitely axiomatisable.. Logic Journal of the IGPL, 13 (2), 159-171.
Hunter, A., Liu, W. (2005). Measuring the quality of uncertain information using possibilistic logic.
Jingling, L., Zhaoping, L. (2005). A salience ripple in a homogeneous field: Evidence supporting the V1 salience model. PERCEPTION, 34 151.
Jingling, L., Zhaoping, L. (2005). A salience ripple in a homogeneous field. SPATIAL VISION, 18 (4), 501.
Li, Y., Shawe-Taylor, J. (2005). Using KCCA for Japanese-English cross-language information retrieval and classification. Journal of Intelligent Information Systems,
Matteo, T.D., Aste, T., Dacorogna, M.M. (2005). Long term memories of developed and emerging markets: using the scaling analysis to characterize their stage of development. Journal of Banking and Finance, 29 (4), 827-851. doi:10.1016/j.jbankfin.2004.08.004
Matteo, T.D., Aste, T., Gallegati, M. (2005). Innovation flow through social networks: Productivity distribution. European Physical Journal B, 47 (3), 459-466. doi:10.1140/epjb/e2005-00332-y
Meng, A., Shawe-Taylor, J. (2005). An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier..
Meng, H., Hardoon, D.R., Shawe-Taylor, J., Szedmak, S. (2005). Generic object recognition by combining distinct features in machine learning.
Meng, H., Hardoon, D.R., Shawe-Taylor, J., Szedmak, S. (2005). Generic object recognition by combining distinct features in machine learning.
Meng, H., Shawe-Taylor, J., Szedmak, S., Farquhar, J. (2005). Support Vector Machine to Synthesise Kernels. In Winkler, J., Niranjan, M., Lawrence, N. (Eds.), Deterministic and Statistical Methods in Machine Learning. (pp. 242-255). Springer Berlin / Heidelberg.
Micchelli, C.A., Pontil, M. (2005). Kernels for multi--task learning.
Micchelli, C.A., Pontil, M. (2005). Learning the kernel function via regularization. Journal of Machine Learning Research, 6 1099-1125.
Micchelli, C.A., Pontil, M. (2005). On learning vector-valued functions. Neural Computation, 17 (1), 177-204. doi:10.1162/0899766052530802
Micchelli, C.A., Pontil, M., Wu, Q., Zhou, D.X. (2005). Error bounds for learning the kernel.
Paiement, J.-.F., Eck, D., Bengio, S., Barber, D. (2005). A graphical model for chord progressions embedded in a psychoacoustic space..
Ponstingl, H., Thomas, K.B., Gorse, D., Thornton, J.M. (2005). Morphological aspects of oligorneric protein structures. PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 89 (1), 9-35. doi:10.1016/j.pbiomolbio.2004.01.010
Postingl, H., Kabir, T., Gorse, D., Thornton, J.M. (2005). Morphological aspects of oligomeric protein structures. Progress in Biophysics and Molecular Biology, 89 (1), 9-35. doi:10.1016/j.pbiomolbio.2004.07.010
Riedel, S., Klein, E. (2005). Genic interaction extraction with semantic and syntactic chains.
Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2005). .
Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2005). Learning hierarchical multi-category text classification models.
Rousu, J., Shawe-Taylor, J. (2005). Efficient Computation of Gapped Substring Kernels on Large Alphabets. Journal of Machine Learning Research, 6 1323-1344.
Saadatfar, M., Kabla, A., Senden, T.J., Aste, T. (2005). The geometry and the number of contacts of monodisperse sphere packs using X-ray tomography. Powders and Grains 2005 - Proceedings of the 5th International Conference on Micromechanics of Granular Media, 1 33-36.
Shawe-Taylor, J., Meng, A. (2005). .
Shawe-Taylor, J.S., Williams, C., Cristianini, N., Kandola, J. (2005). On the Eigenspectrum of the Gram matrix and the generalisation error of kernel PCA. IEEE Transactions on Information Theory, 51 (7), 2510-2522. doi:10.1109/TIT.2005.850052
Silver, D. (2005). Cooperative Pathfinding.
Szedmak, S., Shawe-Taylor, J. (2005). Multiclass Learning at One-class Complexity.
Tsampouka, P., Shawe-Taylor, J. (2005). Analysis of Generic Perceptron-Like Large Margin Classifiers..
Tsampouka, P., Shawe-Taylor, J. (2005). Perceptron-like Large Margin Classifiers.
Tumminello, M., Aste, T., Di Matteo, T., Mantegna, R.N. (2005). A tool for filtering information in complex systems.. Proceedings of the National Academy of Sciences of the United States of America, 102 (30), 10421-10426. doi:10.1073/pnas.0500298102
Zhaoping, L. (2005). Border ownership from intracortical interactions in visual area V2. Neuron, 47 (1), 143-153. doi:10.1016/j.neuron.2005.04.005
Zhaoping, L. (2005). The primary visual cortex creates a bottom-up saliency map. In Itti, L., Rees, G., Tsotsos, J. (Eds.), Neurobiology of Attention. (pp. 570-575). Burlington: Academic Press.

2004

(2004). Relative loss bounds for predicting almost as well as any function in a union of Gaussian reproducing kernel spaces with varying widths..
(2004). Learning Theory, 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings.
(2004). Management of Uncertainty, Incompleteness, Imprecision and Conflict in Multiple Data Sources. Journal of Applied Non-classical Logics, 14 (3), 243-386.
Agakov, F.V., Barber, D. (2004). Variational Information Maximization for Neural Coding..
Agakov, F.V., Barber, D. (2004). An Auxiliary Variational Method..
Ambroladze, A., Shawe-Taylor, J. (2004). Complexity of pattern classes and Lipschitz Property.
Ambroladze, A., Shawe-Taylor, J. (2004). .
Aste, T., Coniglio, A. (2004). Cell theory for liquid solids and glasses: From local packing configurations to global complex behaviors. Europhysics Letters, 67 (2), 165-171. doi:10.1209/epl/i2003-10284-x
Aste, T., Craig, V.S.J., Hyde, S.T. (2004). Physica A: Statistical Mechanics and its Applications: Editorial. Physica A: Statistical Mechanics and its Applications, 339 (1-2), doi:10.1016/j.physa.2004.03.032
Aste, T., Saadatfar, M., Sakellariou, A., Senden, T.J. (2004). Investigating the Geometrical Structure of Disordered Sphere Packings. Physica A: Statistical Mechanics and its Applications, 339 (1-2), 16-23. doi:10.1016/j.physa.2004.03.034
Aste, T., Valbusa, U. (2004). Surface instabilities in granular matter and ion-sputtered surfaces. Physica A: Statistical Mechanics and its Applications, 332 (1-4), 548-558. doi:10.1016/j.physa.2003.10.030
Bentley, K., Clack, C. (2004). The Artificial Cytoskeleton for Lifetime Adaptation of Morphology.
Bertossi, L., Hunter, A., Schaub, T. (2004). Introduction to inconsistency tolerance. In Bertossi, L., Hunter, A., Schaub, T. (Eds.), (pp. 1-14). .
Bertossi, L., Hunter, A., Schaub, T. (Eds.), (2004). Inconsistency Tolerance. Springer.
Byrne, E., Hunter, A. (2004). Man bites dog: looking for interesting inconsistencies in structured news reports. Data and Knowledge Engineering, 48 (3), 265-295. doi:10.1016/S0169-023X(03)00123-X
Clack, C.D. (2004). Bioscience Computing.
Cristani, M., Hirsch, R. (2004). The complexity of constraint satisfaction problems for small relation algebras. Artificial Intelligence, 156 (2), 177-196. doi:10.1016/j.artint.2004.02.003
Eaton, K.A. (2004). Introduction.
Evegniou, T., Pontil, M. (2004). Regularized multi--task learning..
Evgeniou, T., Pontil, M., Elisseeff, A. (2004). Leave-one-out error, stability, and generalization of voting combination of classifiers.. Machine Learning, 55 (1), 71-97. doi:10.1023/B:MACH.0000019805.88351.60
Graepel, T., Herbrich, R., Kharechko, A., Shawe-Taylor, J. (2004). Semidefinite Programming by Perceptron Learning. In (pp. 457-465). MIT Press.
Grover, C., Halpin, H., Klein, E., Leidner, J.L., Potter, S., Riedel, S., ...Tobin, R. (2004). A Framework for Text Mining Services.
Hardoon, D., Shawe-Taylor, J., Friman, O. (2004). .
Hardoon, D., Shawe-Taylor, J., Friman, O. (2004). KCCA Feature Selection for fMRI Analysis.
Hardoon, D., Szedmak, S., Shawe-Taylor, J. (2004). Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Computation, 16 (12), 2639-2664.
Herbster, M. (2004). Relative loss bounds and polynomial-time predictions for the K-LMS-NET algorithm.
Hirsch, L., Saeedi, M., Hirsch, R. (2004). Evolving Text Classifiers with Genetic Programming.
Hirsch, R. (2004). Dialectics and Logic.. Cultural Logic, 7
Hunter, A. (2004). Making argumentation more believable.
Hunter, A. (2004). Towards higher impact argumentation.
Hunter, A. (2004). Logical comparison of inconsistent perspectives using scoring functions. Knowledge and Information Systems Journal, 6 (5), 528-543.
Hunter, A. (2004). Towards higher impact argumentation..
Hunter, A., Konieczny, S. (2004). Approaches to measuring inconsistent information. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3300 LNCS 191-236.
Hunter, A., Konieczny, S. (2004). Approaches to measuring inconsistent information. In Bertossi, L., Hunter, A., Schaub, T. (Eds.), Inconsistency Tolerance. (pp. 189-234). Springer.
Hunter, A., Liu, W. (2004). Logical reasoning with multiple granularities of uncertainty in semi-structured information.
Hunter, A., Summerton, R. (2004). Fusion rules for context-dependent aggregation of structured news reports. Journal of Applied Non-classical Logics, 14 (3), 329-366.
Kharechko, A., Shawe-Taylor, J., Herbrich, R., Graepel, T. (2004). .
Lehel, V., Matthes, F., Riedel, S. (2004). Linkage Flooding: Ein Algorithmus zur dateninhaltsorientierten Fusion in vernetzten Informationsbeständen..
Lewis, A., Garcia, R., Zhaoping, L. (2004). Understanding cone distributions from saccadic dynamics. Is information rate maximised?.
Li, S., Shawe-Taylor, J. (2004). Texture classification by combining wavelet and contourlet features.
Li, S., Shawe-Taylor, J. (2004). Comparison and Fusion of Multiresolution Features for Texture Classification. Pattern Recognition Letters, 25
Li, Y., Shawe-Taylor, J. (2004). Combining Clustering with Canonical Correlation Analysis for Cross-Language Patent Retrieval.
Li, Y., Shawe-Taylor, J. (2004). .
Matteo, T.D., Aste, T., Mantegna, R.N. (2004). An interest rates cluster analysis. Physica A: Statistical Mechanics and its Applications, 339 (1-2), 181-188. doi:10.1016/j.physa.2004.03.041
May, K., Zhaoping, L. (2004). Investigating salience mechanisms by using the effects of surrounding frame on the tilted-vertical asymmetry in visual search. PERCEPTION, 33 12.
Micchelli, C.A., Pontil, M. (2004). A function representation for learning in Banach spaces..
Passerini, A., Pontil, M., Frasconi, P. (2004). New results on error correcting output codes of kernel machines.
Rousu, J., Saunders, C., Szedmak, S., Shawe-Taylor, J. (2004). .
Saunders, C., Hardoon, D.R., Shawe-Taylor, J., Widmer, G. (2004). Using String Kernels to Identify Famous Performers from Their Playing Style..
Saunders, C., Hardoon, D., Shawe-Taylor, J., Widmer, G. (2004). Using String Kernels to Identify Famous Performers from their Playing Style.
Shawe-Taylor, J., Cristianini, N. (2004). Kernel Methods for Pattern Analysis.
Shawe-Taylor, J., Singer, Y. (Eds.), (2004). Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004. Springer.
Treleaven, P. (2004). Sizing us Up. IEEE Spectrum, 41 (4), 28-31. doi:10.1109/MSPEC.2004.1279190
Zhaoping, L., Lewis A, S., S. (2004). Mathematical analysis and simulations of the neural circuit for locomotion in lamprey. Physical Review Letters, 92 (19), 198106-. doi:10.1103/PhysRevLett.92.198106

2003

Agakov, F.V., Barber, D. (2003). Approximate Learning in Temporal Hidden Hopfield Models..
Ambroladze, A., Shawe-Taylor, J. (2003). When is small beautiful?. In (pp. 729-730). Springer Verlag.
Aste, T., Coniglio, A. (2003). Glasses and local packings. Physica A: Statistical Mechanics and its Applications, 330 (1-2), 189-194. doi:10.1016/j.physa.2003.08.005
Aste, T., Coniglio, A. (2003). Cell approach to glass transition. Journal of Physics Condensed Matter, 15 (11), doi:10.1088/0953-8984/15/11/305
Barber, D. (2003). Learning in Spiking Neural Assemblies.
Barber, D., Agakov, F. (2003). The IM Algorithm : A variational approach to Information Maximization.
Cholvy, L., Hunter, A. (2003). Merging Requirements from a Set of Ranked Agents. Knowledge-based Systems, 16 (2), 113-126.
Clack, C. (2003). Memory Management for Small Embedded Devices. .
Clack, C. (2003). Smart Memory for Smart Phones. .
Clack, C., Yu, T. (2003). Functional Genetic Programming. .
Di Matteo, T., Aste, T., Dacorogna, M.M. (2003). Scaling behaviors in differently developed markets. Physica A: Statistical Mechanics and its Applications, 324 (1-2), 183-188. doi:10.1016/S0378-4371(02)01996-9
Eliseeff, A., Pontil, M. (2003). Stability of Ensemles of Kernel Machines. Advances in Learning Theory: Methods, Models and Applications, 190
Evgeniou, T., Pontil, M., Poggio, T., Papageorgiou, C. (2003). Image representations and feature selection for multimedia database search. IEEE Trans. on Knowledge and Data Engineering, 15 (4), 911-920.
Freeman, E., Driver, J., Sagi, D., Zhaoping, L. (2003). Top-down modulation of lateral interactions in early vision: does attention affect integration of the whole or just perception of the parts?. CURRENT BIOLOGY, 13 (11), 985-989. doi:10.1016/S0960-9822(03)00333-6
Freeman, E., Driver, J., Sagi, D., Zhaoping, L. (2003). Top-down modulation of lateral interactions in early vision: Does attention affect integration of the whole or just perception of the parts?. Current Biology, 13 (11), pp.985-989.
Hardoon, D., Shawe-Taylor, J. (2003). KCCA for different level precision in content-based image retrieval.
Hardoon, D., Shawe-Taylor, J. (2003). Signal Extraction for Brain-Computer Interface.
Hunter, A. (2003). Probable consistency checking for sets of propositional clauses.
Hunter, A. (2003). Logical Comparison of Inconsistent Perspectives Using Scoring Functions. Knowledge and Information Systems Journal,
Hunter, A. (2003). Evaluating Significance of Inconsistencies.
Hunter, A., Summerton, R. (2003). Propositional fusion rules.
Hunter, A., Summerton, R. (2003). News Fusion Systems: Logic-based Merging of Heterogeneous, News Reports. .
Hunter, A., Summerton, R. (2003). .
Hunter, A., Summerton, R. (2003). Prepositional fusion rules. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2711 502-514.
Kandola, J., Graepel, T., Shawe-Taylor, J. (2003). Reducing kernel matrix diagonal dominance using semi-definite programming. In (pp. 288-302). Springer Verlag.
Kandola, J., Hofmann, T., Poggio, T., Shawe-Taylor, J. (2003). Introduction to the Special Issue on Machine Learning Methods for Text and Images. Journal of Machine Learning Research, 3 1023-1024.
Kandola, J., Shawe-Taylor, J. (2003). Refining Kernels for Regression and Uneven Classification Problems. In Springer-Verlag, Berlin Heidelberg.
Kartsounis, G., Douros, I., Treleaven, P.C. (2003). BodyXML - An XML-based High Level Representation Framework of Human Bodies.
Langford, J., Shawe-Taylor, J. (2003). .
Leskovec, J., Shawe-Taylor, J. (2003). Linear Programming Boosting for Uneven Datasets..
Leskovec, J., Shawe-Taylor, J. (2003). .
Lewis, A., Garcia, R., Zhaoping, L. (2003). The distribution of visual objects on the retina: connecting eye movements and cone distributions. JOURNAL OF VISION, 3 (11), 893-905. doi:10.1167/3.11.21
Lewis, A., Garcia, R., Zhaoping, L. (2003). The distribution of visual objects on the retina: connecting eye movements and cone distributions. Journal of Vision, 3 (11), 893-905. doi:10.1167/3.11.21
Marchand, M., Shah, M., Shawe-Taylor, J., Sokolova, M. (2003). The set covering machine with data-dependent half-spaces. In (pp. 520-527). AAAI Press.
Menchetti, S., Costa, F., Frasconi, P., Pontil, M. (2003). Comparing Convolution Kernels and Recursive Neural Networks for Learning Preferences on Structured Data.
Nakajima, C., Pontil, M., Heisele, B., Poggio, T. (2003). Full body person recognition. Pattern Recognition, 36 1997-2006.
Nakajima, C., Pontil, M., Heisele, B., Poggio, T. (2003). Full-body person recognition system. PATTERN RECOGNITION, 36 (9), 1997-2006. doi:10.1016/S0031-3203(03)00061-X
Oguey, C., Rivier, N., Aste, T. (2003). Stratifications of cellular patterns: Hysteresis and convergence. European Physical Journal B, 33 (4), 447-455. doi:10.1140/epjb/e2003-00185-4
Petrov, Y., Zhaoping, L. (2003). Local correlations, information redundancy, and the sufficient pixel depth in natural images. Journal of the Optical Society of America A: Optics, Image Science, and Vision, 20 56-66.
Pfister, J.-.P., Barber, D., Gerstner, W. (2003). Optimal Hebbian Learning: A Probabilistic Point of View..
Pontil, M. (2003). A note on different covering numbers in learning theory. Journal of Complexity, 19 665-671.
Pontil, M. (2003). An introduction to learning with reproducing kernel Hilbert spaces.
Pontil, M. (2003). Reproducing kernels and regularization methods in machine learning..
Pontil, M. (2003). Learning in Reproducing Kernel Hilbert Spaces: A Guide Tour. Bulletin of the Italian Artificial Intelligence Association AI Notizie,
Saunders, C., Shawe-Taylor, J., Vinokourov, A. (2003). .
Shawe-Taylor, J., Cristianini, N. (2003). Estimating the moments of a random vector with applications. In .
Shepherd, A.J., Gorse, D., Thornton, J.M. (2003). A novel approach to the recognition of protein architecture from sequence using Fourier analysis and neural networks. Proteins, 50 (2), 290-302.
Sokolova, M., Marchand, M., Japkowicz, N., Shawe-Taylor, J. (2003). The Decision List Machine. In MIT Press.
Vinokourov, A., Hardoon, D., Shawe-Taylor, J. (2003). Learning the semantics of multimedia content with application to web image retrieval and classification.
Vinokourov, A., Shawe-Taylor, J., Cristianini, N. (2003). Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. In MIT Press.
Yamana, M., Nakahara, H., Pontil, M., Amari, S. (2003). On different ensembles of kernel machines.
Yao, Y., Marcialis, G., Pontil, M., Frasconi, P., Roli, F. (2003). Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognition, 36 (2), 397-406.
Zhaoping, L. (2003). V1 mechanisms and some figure-ground and border effects. The Journal of Physiology, 97 (4-6), 503-515. doi:10.1016/j.jphysparis.2004.01.008
Zhaoping, L., Herzog, M.H., Dayan, P. (2003). Nonlinear ideal observation and recurrent preprocessing in perceptual learning. Network: Computation in Neural Systems, 14 (2), 233-247. doi:10.1088/0954-898X/14/2/304

2002

Andonova, S., Elisseeff, A., Evgeniou, T., Pontil, M. (2002). A simple algorithm for learning stable machines.
Aste, T., Matteo, T.D., d'Agliano, E.G. (2002). Stress transmission in granular matter. Journal of Physics Condensed Matter, 14 (9), 2391-2402. doi:10.1088/0953-8984/14/9/328
Barber, D. (2002). Dynamic Bayesian Networks with Deterministic Latent Tables..
Barber, D. (2002). Learning in Spiking Neural Assemblies..
Bougourd, J., Treleaven, P. (2002). Capturing the shape of the nation.
Cancedda, N., Goutte, C., Renders, J.-.M., Cesa-Bianchi, N., Conconi, A., Li, Y., ...Gentile, C. (2002). Kernel Methods for Document Filtering..
Cristianini, N., Shawe-Taylor, J., Elisseeff, A., Kandola, J. (2002). On Kernel-Target Alignment. In MIT Press.
Cristianini, N., Shawe-Taylor, J., Kandola, J. (2002). Spectral Kernel Methods for Clustering. In (pp. 649-655). MIT Press.
Cristianini, N., Shawe-Taylor, J., Lodhi, H. (2002). Latent Semantic Kernels. Journal of Intelligent Information Systems, 18 (2-3), 127-152.
Demiriz, A., Bennett, K.P., Shawe-Taylor, J. (2002). Linear Programming Boosting via Column Generation. Machine Learning, 46 (1-3), 225-254. doi:10.1023/A:1012470815092
Evgeniou, T., Poggio, T., Pontil, M., Verri, A. (2002). Regularization and statistical learning theory for data analysis. Computational Statistics and Data Analysis, 38 421-432.
Evgeniou, T., Pontil, M. (2002). Support Vector Machines with Clustering for Training with Very Large Datasets.
Evgeniou, T., Pontil, M. (2002). Learning Preference Relations from Data..
Genc, Y., Riedel, S., Souvannavong, F., Akinlar, C., Navab, N. (2002). Marker-less Tracking for AR: A Learning-Based Approach..
Gorse, D. (2002). Application of a chaperone-based refolding to 2- and 3-dimensional off-lattice protein models. Biopolymers, 64 (3), 146-160. doi:10.1002/bip.10148
Guo, Y., Bartlett, P., Shawe-Taylor, J., Williamson, R. (2002). Covering Numbers and Support Vector Machines. IEEE Transactions on Information Theory, 48 (1), 239-250. doi:10.1109/18.971752
Herzog, M.H., Zhaoping, L. (2002). Decreasing suppression of target visibility by increasing the number of suppressors. PERCEPTION, 31 93-94.
Hessami, A., Hunter, A. (2002). Formalisation of Weighted Factor Analysis. Knowledge-based Systems, 15 (1), 377-390.
Hirsch, R., Hodkinson, I. (2002). Strongly Representable Atom Structures of Relation Algebras. Proceedings of the American Mathematical Society, 130 (6), 1819-1831. doi:10.1090/S0002-9939-01-06232-3
Hirsch, R., Hodkinson, I., Kurucz, A. (2002). Every Logic Between K3 and S53 is Undecidable and Non-Finitely Aximatisable. Journal of Symbolic Logic, 67 (1), 221-234.
Hirsch, R., Hodkinson, I., Maddux, R. (2002). On the Number of Variables Required for Proofs. Journal of Symbolic Logic, 67 (1), 197-213.
Hirsch, R., Hodkinson, I., Maddux, R. (2002). Provability With Finitely Many Variables. Bulletin of Symbolic Logic, 8 (3), 348-379.
Hirsch, R., Hodkinson, I.M., Kurucz, Á. (2002). On Modal Logics Between K x K x K and S5 x S5 x S5.. JOURNAL OF SYMBOLIC LOGIC, 67 (1), 221-234. doi:10.2178/jsl/1190150040
Hirsch, R., Hodkinson, I.M., Maddux, R.D. (2002). Relation Algebra Reducts of Cylindric Algebras and An Application to Proof Theory.. JOURNAL OF SYMBOLIC LOGIC, 67 (1), 197-213. doi:10.2178/jsl/1190150037
Hunter, A. (2002). Logical Fusion Rules for Merging Structured News Reports. Data and Knowledge Engineering, 42 23-56.
Hunter, A. (2002). Merging Structured Text Using Temporal Knowledge. Data and Knowledge Engineering, 41 29-66.
Hunter, A. (2002). Measuring Inconsistency in Knowledge Via Quasi-Classical Models.
Kandola, J., Shawe-Taylor, J., Cristianini, N. (2002). Learning Semantic Similarity. In MIT Press.
Kandola, J., Shawe-Taylor, J., Cristianini, N. (2002). On the Extensions of Kernel Alignment. .
Kandola, J., Shawe-Taylor, J., Cristianini, N. (2002). Optimizing Kernel Alignment over Combinations of Kernel. .
Langford, J., Shawe-Taylor, J. (2002). PAC-Bayes & Margins..
Li, Y., Zaragoza, H., Herbrich, R., Shawe-Taylor, J., Kandola, J. (2002). The Perceptron Algorithm with Uneven Margins. In (pp. 379-386). Morgan Kaufmann.
Lodhi, H., Karakoulas, G., Shawe-Taylor, J. (2002). Boosting Strategy for Classification. Intelligent Data Analysis, 6 (2), 149-174.
Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini, N., Watkins, C. (2002). Text Classification using String Kernels. Journal of Machine Learning Research, 2 419-444.
Marchand, M., Shawe-Taylor, J. (2002). The Set Covering Machine. Journal of Machine Learning Research, 3 723-746.
Matteo, T.D., Aste, T.(n.d.).How does the Eurodollar Interest Rate behave?. Journal of Theoretical and Applied Finance, 5 (2002) p.127-122,
Murray, K.B., Gorse, D., Thornton, J.M. (2002). Wavelet transforms for the characterisation and detection of repeating motifs. Journal of Molecular Biology, 316 (2), 341-363. doi:10.1006/jmbi.2001.5332
Nakajima, C., Pontil, M. (2002). Maintenance training of electric power facilities using object recognition by SVM.
Passerini, A., Pontil, M., Frasconi, P. (2002). From margins to probabilities in multiclass learning problems.
Pontil, M. (2002). A short review of statistical learning theory.
Ruiz, M., Buxton, B.F., Douros, I., Treleaven, P.C. (2002). Web-based Software Tools for 3D Body Database Access and Shape Analysis.
Saunders, C., Shawe-Taylor, J., Vinokourov, A. (2002). String kernels, Fisher kernels and finite state automata. In MIT Press.
Saunders, C., Tschach, H., Shawe-Taylor, J. (2002). Syllables and other string kernel extensions.
Scarpetta, S.Z., L, H.J. (2002). Hebbian imprinting and retrieval in oscillatory neural networks.. Neural Computation, 14 (10), 2371-2396. doi:10.1162/08997660260293265
Shawe-Taylor, J., Cancedda, N., Cesa-Bianchi, N., Conconi, A., Gentile, C., Goutte, C., ...Renders, J. (2002). .
Shawe-Taylor, J., Cristianini, N. (2002). On the Generalisation of Soft Margin Algorithms. IEEE Transactions on Information Theory, 48 (10), 2721-2735. doi:10.1109/TIT.2002.802647
Shawe-Taylor, J., Cristianini, N., Kandola, J. (2002). On the Concentration of Spectral Properties. In (pp. 511-517). MIT Press.
Shawe-Taylor, J., Williams, C. (2002). The Stability of Kernel Principal Components Analysis and its Relation to the Eigenspectrum. In MIT Press.
Shawe-Taylor, J., Williams, C., Cristianini, N., Kandola, J. (2002). On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. In (pp. 23-40). Springer Verlag.
Shawe-Taylor, J., Williams, C.K.I., Cristianini, N., Kandola, J.S. (2002). On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum..
Suppes, P. (Ed.), (2002). Relation algebras by games. Amsterdam: North-Holland.
Tschach, H., Saunders, C., Shawe-Taylor, J. (2002). Syllables and other String Kernel Extensions. In Elsevier Science & Technology Books.
Zhaoping, L. (2002). Pre-attentive segmentation and correspondence in stereo. Philosophical Transactions of the Royal Society B: Biological Sciences, 357 (1428), 1877-1883. doi:10.1098/rstb.2002.1158
Zhaoping, L., Dayan, P., Herzog, M.H. (2002). Positional variation in perceptual learning: quadratic ideal observation, recurrent pre-processing, and transfer. PERCEPTION, 31 94.

2001

(2001). Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Transactions on Systems, Man and Cybernetics, 31 (1), 65-76.
(2001). Tracking the best linear predictor. Journal of Machine Learning Research, 1 281-309.
(2001). A default logic-based framework for context-dependent reasoning with lexical knowledge. Journal of Intelligent Information Systems, 16 (1), 62-87.
(2001). Special Issue on Data and Knowledge Fusion. International Journal of Intelligent Systems, 16 (10), 1107-1221.
(2001). Special Issue in Data and Knowledge Fusion 2. International Journal of Intelligent Systems, 16 (11), 1223-1320.
Appriou, A., Ayoun, A., Benferhat, S., Besnard, R., Cholvy, L., Cooke, R., ...Grabisch, M. (2001). Fusion: General concepts and characteristics. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 16 (10), 1107-1134.
Besnard, P., Hunter, A. (2001). A logic based theory of deductive arguments. Artificial Intelligence, 128 (1), 203-235. doi:10.1016/S0004-3702(01)00071-6
Burge, P., Shawe-Taylor, J. (2001). An Unsupervised Neural Network Approach to Profiling the Behaviour of Mobile Phone Users for Use in Fraud Detection. Journal of Parallel and Distributed Computing, 61 (7), 915-925.
Cristianini, N., Shawe-Taylor, J., Williamson, R. (2001). Introduction to the Special Issue on Kernel Methods (Kernel Machines Section). Journal of Machine Learning Research, 2 (2), 95-96.
Demiriz, A., Bennett, K., Shawe-Taylor, J. (2001). Linear Programming Boosting via Column Generation. Machine Learning, 46 (1), 225-254.
Evgeniou, T., Pontil, M. (2001). Support vector machines: theory and applications. In al, G.P.E. (Ed.), Machine Learning and Its Applications. (pp. 249-257). .
Evgeniou, T., Pontil, M., Elisseeff, A. (2001). Algorithmic Stability and Model Selection for Bagging using Small Sub-samples..
Goonatilake, S.A., Treleaven, P., Walters, J. (2001). System and Method for Visualising Personal Appearance. WO/2001/046911.
Gorse, D. (2001). Global minimisation of an off-lattice potential energy function using a chaperone-based refolding method. Biopolymers, 59 (6), 411-426. doi:10.1002/1097-0282(200111)59:6<411::aid-bip1046>3.0.CO;2-J
Heisele, B., Serre, T., Pontil, M., Poggio, T. (2001). Component-based face detection.
Heisele, B., Serre, T., Pontil, M., Poggio, T. (2001). Component-based face detection.
Heisele, B., Serre, T., Pontil, M., Vetter, T., Poggio, T. (2001). Categorization by learning and combining object parts.
Herbster, M.J. (2001). Learning additive models online with fast evaluating kernels.
Hirsch, R., Hodkinson, I. (2001). Connections between cylindric algebras and relation algebras. In Relational Methods in Computer Science Applications. (pp. 239-246). Springer Verlag.
Hirsch, R., Hodkinson, I. (2001). Relation algebras from cylindric algebras, I. Annals of Pure and Applied Logic, 112 225-266.
Hirsch, R., Hodkinson, I. (2001). Relation algebras from cylindric algebras, II. Annals of Pure and Applied Logic, 112 267-297.
Hirsch, R., Hodkinson, I. (2001). Representability is not decidable for finite relation algebras. Transactions of the American Mathematical Society, 353 (4), 1403-1425. doi:10.1090/S0002-9947-99-02264-3
hirsch, R., hodkinson, I. (2001). Synthesising axioms by games.
Hunter, A. (2001). A default logic based framework for context-dependent reasoning with lexical knowledge. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 16 (1), 65-87. doi:10.1023/A:1008741010967
Hunter, A. (2001). Ramification analysis with structured news reports using temporal argumentation.
Hunter, A. (2001). A semantic tableau version of first-order quasi-classical logic.
Hunter, A. (2001). Hybrid argumentation sytems for structured news reports. Knowledge Engineering Review, 16 295-329.
Joachims, T., Cristianini, N., Shawe-Taylor, J. (2001). Composite kernels for hypertext categorisation. In (pp. 250-257). Morgan Kaufmann.
Li, Z., Dayan, P. (2001). Position Variance, Recurrence and Perceptual Learning.
Lodhi, H., Cristianini, N., Shawe-Taylor, J. (2001). Latent Semantic Kernels. In (pp. 66-73). Morgan Kaufmann.
Lodhi, H., Shawe-Taylor, J., Cristianini, N., Watkins, C. (2001). Text Classification using String Kernels. In (pp. 563-569). MIT Press.
Marchand, M., Shawe-Taylor, J. (2001). Learning with the Set Covering Machine. In (pp. 345-352). .
Petrov, Y., Li, Z. (2001). Disparity Capture by Flanking Stimuli: A measure for the Cooperative Mechanism of Stereopsis [Abstract]. Journal of Vision, 1 (3),
Popple, A.V., Li, Z. (2001). Testing a V1 Model: Perceptual Biases and Saliency Effects [Abstract]. Journal of Vision, 1 (3),
Popple, A.V., Li, Z. (2001). .
Scarpetta, S., Li, Z., Hertz, J. (2001). Spike-Timing-Dependent Learning for Oscillatory Networks.
Schölkopf, B., Platt, J., Shawe-Taylor, J., Smola, A., Williamson, R. (2001). Estimating the Support of a High-Dimensional Distribution. Neural Computation, 13 (7), 1443-1471. doi:10.1162/089976601750264965
Shawe-Taylor, J. (2001). Neural Network Learning: Theoretical Foundation.. AI Magazine, 22 99-100.
Shawe-Taylor, J. (2001). Optimisation in Machine Learning: Some Recent Developments and Perspectives. In (pp. 25-35). .
Shawe-Taylor, J. (2001). Review of "Anthony, Martin; Bartlett, Peter L., Neural Network Learning: Theoretical Foundations, Cambridge: Cambridge University Press". Cambridge University Press.
Shawe-Taylor, J., Zerovnik, J. (2001). Ants and graph coloring. In (pp. 276-279). Springer-Verlag.
Westerdijk, M., Barber, D., Wiegerinck, W. (2001). Deterministic Generative Models for Fast Feature Discovery.. Data Min. Knowl. Discov., 5 337-363. doi:10.1023/A:1011405212443
Yao, Y., Frasconi, P., Pontil, M. (2001). Fingerprint classification with combinations of Support Vector Machines.
Yao, Y., Marcialis, G.L., Pontil, M., Frasconi, P., Roli, F. (2001). A New Machine Learning Approach to Fingerprint Classification..
Zhaoping, L. (2001). Computational design and nonlinear dynamics of a recurrent network model of the primary visual cortex. Neural Computation, 13 (8), 1749-1780. doi:10.1162/08997660152469332
Zhaoping, L. (2001). Modeling pre-attentive stereo grouping by intracortical interactions in early visual cortex.

2000

(2000). Implementation of Functional Languages: Proceedings of IFL'99,. 1868 1-198.
Aste, T., Weaire, D.L. (2000). The Pursuit of Perfect Packing. Taylor & Francis.
Bennett, K.P., Demiriz, A., Shawe-Taylor, J. (2000). A Column Generation Algorithm for Boosting.
Besnard, P., Hunter, A. (2000). Towards a logic-based theory of argumentation.
Cristianini, N., Shawe-Taylor, J. (2000). An introduction to Support Vector Machines. Cambridge University Press.
Cristianini, N., Shawe-Taylor, J., Lodhi, H. (2000). Latent Semantic Kernels. In (pp. 66-73). Morgan Kaufmann.
Evgeniou, E., Pontil, M., Papageorgiou, C., Poggio, T. (2000). Image representations for object detection using kernel classifiers.
Evgeniou, T., Perez-Breva, L., Pontil, P. (2000). Bounds on the generalization performance of kernel machine ensembles..
Evgeniou, T., Pontil, M. (2000). A Note on the Generalization Performance of Kernel Classifiers with Margin.
Evgeniou, T., Pontil, M. (2000). Learning with Kernel Machines and their Ensembles.
Evgeniou, T., Pontil, M., Poggio, T. (2000). Regularization networks and support vector machines. Advances in Computational Mathematics, 13 (1), 1-50.
Evgeniou, T., Pontil, M., Poggio, T. (2000). Statistical learning theory: a primer. International Journal of Computer Vision, 38 (1), 9-13.
Graepel, T., Herbrich, R., Shawe-Taylor, J. (2000). Generalisation Error Bound for Sparse Linear Classifiers. In (pp. 298-303). Morgan Kaufmann.
Graepel, T., Herbrich, R., Shawe-Taylor, J. (2000). Sparsity vs. Large Margins for Linear Classifiers: A Small Sample Size Study. In (pp. 304-308). Morgan Kaufmann.
Heisele, B., Poggio, T., Pontil, M. (2000). Face detection in still gray images. .
Herbrich, R., Graepel, T., Shawe-Taylor, J. (2000). Sparsity vs. Large Margins for Linear Classifiers..
Hirsch, R. (2000). Tractable approximations for temporal constraint handling. Artificial Intelligence Journal, 116 287-295.
Hirsch, R., Hodkinson, I. (2000). Relational algebras with n-dimensional bases. Annals of Pure and Applied Logic, 101 227-274.
Hirsch, R., Hodkinson, I.M. (2000). Relation Algebras with n-Dimensional Relational Bases.. ANNALS OF PURE AND APPLIED LOGIC, 101 (2-3), 227-274. doi:10.1016/S0168-0072(99)00022-6
Hunter, A. (2000). Merging potentially inconsistent items of structured text. Data and Knowledge Engineering, 34 (3), 305-332.
Hunter, A. (2000). Ramification analysis using causal mapping. Data and Knowledge Engineering, 32 1-27.
Hunter, A. (2000). Reasoning with contradictory information using quasi-classical logic. Journal of Logic and Computation, 10 677-703.
Hunter, A. (2000). Reasoning with inconsistency in structured text. Knowledge Engineering Review, 15 (4), 317-337.
Karakoulas, G., Shawe-Taylor, J. (2000). Towards a strategy for boosting regressors. In (pp. 247-258). MIT Press.
Li, Z. (2000). Can V1 mechanisms give higher sensitivities to medial axes of figure shapes?. SPATIAL VISION, 14 (1), 82-83.
Li, Z., Hertz, J. (2000). Multiple Zones of Contextual Surround for V1 Receptive Fields .
Lodhi, H., Karakoulas, G., Shawe-Taylor, J. (2000). Boosting the Margin Distribution. In (pp. 54-59). Springer.
Nakajima, C., Itoh, N., Pontil, M., Poggio, T. (2000). Object recognition and detection by a combination of support vector machine and rotation invariant phase only correlation.
Nakajima, C., Itoh, N., Pontil, M., Poggio, T. (2000). Object recognition and detection by a combination of support vector machine and rotation invariant phase only correlation.
Nakajima, C., Pontil, M., Poggio, T. (2000). People recognition and pose estimation in image sequences.
Pisanski, T., Shawe-Taylor, J. (2000). Characterising graph drawing with eigenvectors. Journal of Chemical Information and Computer Sciences, 40 (3), 567-571.
Platt, J., Cristianini, N., Shawe-Taylor, J. (2000). Large Margin DAGs for Multiclass Classification. In (pp. 547-553). MIT Press.
Pontil, M., Mukherjee, S., Girosi, F. (2000). On the noise model of support vector machines regression.
Rising, B., Shawe-Taylor, J., Zerovnik, J. (2000). Graph Colouring by Maximal Evidence Edge Adding. In Springer-Verlag.
Rychetsky, M., Shawe-Taylor, J., Glesner, M. (2000). Direct Bayes Point Machines. In (pp. 815-822). Morgan Kaufmann.
Scholkopf, B., Williamson, R., Smola, A., Shawe-Taylor, J. (2000). SV Estimation of a Distribution's Support. In (pp. 582-588). MIT Press.
Shawe-Taylor, J., Cristianini, N. (2000). Margin Distribution and Soft Margin. In (pp. 349-358). MIT Press.
Smola, A., Shawe-Taylor, J., Scholkopf, B., Williamson, R. (2000). The Entropy Regularization Information Criterion. In (pp. 342-348). MIT Press.
Treleaven, P.C. (2000). E-Business Start-Up. Kogan Page.
Vekaria, K., Clack, C. (2000). Royal road encodings and schema propagation in selective crossover. Advances in Intelligent and Soft Computing, 39 281-292.
Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, P., Vapnik, V. (2000). Feature selection for SVMs.
Wu, D., Bennett, K., Cristianini, N., Shawe-Taylor, J. (2000). Enlarging the Margins in Perceptron Decision Trees. Machine Learning, 41 (3), 295-313.
Zhaoping, L. (2000). Pre-attentive segmentation in the primary visual cortex. Spatial Vision, 13 (1), 25-50. doi:10.1163/156856800741009
Zhaoping, L. (2000). Can V1 mechanisms account for figure-ground and medial axis effects?. In Solla, S., Leen, T., Müller, K. (Eds.), Advances in Neural Information Processing Systems 12. (pp. 136-142). Cambridge, MA, USA: MIT Press.
Zhaoping, L., Hertz, J. (2000). Odor recognition and segmentation by a model olfactory bulb and cortex. Network: Computation in Neural Systems, 11 (1), 83-102. doi:10.1088/0954-898X/11/1/305

1999

(1999). Symbolic and Quantitative Approaches to Reasoning and Uncertainty, European Conference, ECSQARU'99, London, UK, July 5-9, 1999, Proceedings.
(1999). Implementation of Functional Languages: Proceedings of IFL'98,. 1595 1-245.
Aste, T., Sherrington, D. (1999). Glass transition in self organizing cellular patterns. Journal of Physics A: Mathematical and General, 32 (41), 7049-7056. doi:10.1088/0305-4470/32/41/301
Barabino, N., Pallavicini, M., Petrolini, A., Pontil, M., Verri, A. (1999). Support vector machines vs multi-layer perceptrons in particle identification.
Barber, D., Laar, P.V.D. (1999). Variational Cumulant Expansions for Intractable Distributions.. J. Artif. Intell. Res. (JAIR), 10 435-455. doi:10.1613/jair.567
Barber, D., Sollich, P. (1999). Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks..
Burge, P., Daalen, M., Rising, B., Shawe-Taylor, J. (1999). Stochastic Bit-stream Neural Networks. In (pp. 337-352). MIT Press.
Clack, C. (1999). Realisations for non-strict languages. In Hammond, K., Michaelson, G. (Eds.), Research Directions in Parallel Functional Programming. (pp. 149-187). Berlin: Springer-Verlag.
Clack, C. (1999). A data structure, memory allocator and memory management system.
Cristianini, N., Campbell, C., Shawe-Taylor, J. (1999). Dynamically adapting kernels in support vector machines. In (pp. 204-210). .
Cristianini, N., Campbell, C., Shawe-Taylor, J. (1999). Multiplicative Updatings for Support Vector Learning. In (pp. 189-194). D-Facto Publications.
Cristianini, N., Campbell, C., Shawe-Taylor, J. (1999). A multiplicative updating algorithm for training support vector machine..
Dekker, L., Douros, I., Buxton, B.F., Treleaven, P. (1999). Building symbolic information for 3-D human body modelling from range data.
Evgeniou, T., Pontil, M. (1999). On the V γ dimension for regression in reproducing kernel hilbert spaces.
Evgeniou, T., Pontil, M. (1999). On the V-gamma dimension for regression in reproducing kernel Hilbert spaces.
Evgeniou, T., Pontil, M., Poggio, T. (1999). A unified framework for regularization networks and support vector machines. .
Gabbay, D., Hunter, A. (1999). Negation and contradiction. In Gabbay, D., Wansing, H. (Eds.), What is Negation?. Kluwer.
Guo, Y., Bartlett, P., Shawe-Taylor, J., Williamson, R. (1999). Covering Numbers for Support Vector Machines. In (pp. 267-277). ACM Press.
Hirsch, R. (1999). A finite relation algebra with undecidable network satisfaction problem. Bulletin of the Interest group in Pure and Applied Logics, 7 (4), 547-554.
Hunter, A., Marten, L. (1999). Context-sensitive reasoning with lexical and world knowledge. In Scott, G., Ki-Mei Mui, E., Lee, H. (Eds.), SOAS Working Papers in Linguistics. (pp. 373-386). London: SOAS.
Hunter, A., Parsons, S. (1999). Preface. .
Hunter, A., Parsons, S. (Eds.), (1999). Symbolic and Quantitative Approaches to Reasoning and Uncertainty. Springer.
Karakoulas, G., Shawe-Taylor, J. (1999). Optimizing classifiers for imbalanced training sets. In (pp. 253-259). .
Li, Z. (1999). Pre-attentive segmentation in the primary visual cortex. Spatial vision, 13 (1), 25-50.
Li, Z., Dayan, P. (1999). Computational differences between asymmetrical and symmetrical networks. Network, 10 (1), 59-77.
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Pontil, M., Rifkin, R.M., Evgeniou, T. (1999). From regression to classification in support vector machines.
Rifkin, R.M., Pontil, M., Verri, A. (1999). A Note on Support Vector Machine Degeneracy.
Schölkopf, B., Williamson, R.C., Smola, A.J., Shawe-Taylor, J., Platt, J.C. (1999). Support Vector Method for Novelty Detection..
Shawe-Taylor, J. (1999). Introducing the Special Issue of Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT'97. In (pp. 191-192). Kluwer.
Shawe-Taylor, J. (1999). Theoretical analysis of real-valued function classes, Guest editorial. In (pp. 1-2). Elsevier Science.
Shawe-Taylor, J., Cristianini, N. (1999). Margin Distribution Bounds on Generalization. In (pp. 263-273). Springer-Verlag.
Shawe-Taylor, J., Cristianini, N. (1999). Further Results on the Margin Distribution. In (pp. 278-285). ACM Press.
Shawe-Taylor, J., Howker, K., Burge, P. (1999). Detection of fraud in mobile telecommunications. Information Security Technical Report, 4 (1), 16-28.
Shawe-Taylor, J., Williamson, R. (1999). Generalization Performance of Classifiers in Terms of Observed Covering Numbers. In (pp. 274-284). Springer-Verlag.
Shepherd, A.J., Gorse, D., Thornton, J.M. (1999). Prediction of the location and type of beta-turns in proteins using neural networks. Protein Science, 8 (5), 1045-1055.
Vekaria, K., Clack, C. (1999). Schema Propagation in Selective Crossover.
Vekaria, K., Clack, C. (1999). Biases introduced by adaptive recombination operators.
vekaria, K., clack, C.D. (1999). Hitchhikers Get Around. UCL Department of Computer Science.
Wu, D., Bennett, K., Cristianini, N., Shawe-Taylor, J. (1999). Large Margin Decision Trees for Induction and Transduction. In (pp. 474-483). Morgan Kaufmann Publishers Inc.
Zhaoping, L. (1999). Visual segmentation by contextual influences via intracortical interactions in primary visual cortex. Network: Computation in Neural Systems, 10 (2), 187-212. doi:10.1088/0954-898X/10/2/305
Zhaoping, L. (1999). Contextual influences in V1 as a basis for pop out and asymmetry in visual search. Proceedings of the National Academy of Sciences of the United States of America, 96 (18), 10530-10535.

1998

(1998). Implementation of Functional Languages: Proceedings of IFL'97,. 1467 1-374.
Aste, T. (1998). Dynamical partitions of space in any dimension. Journal of Physics A: Mathematical and General, 31 (43), 8577-8593. doi:10.1088/0305-4470/31/43/003
Barber, D., Wiegerinck, W. (1998). Tractable Variational Structures for Approximating Graphical Models..
Bartlett, P., Shawe-Taylor, J. (1998). Generalization Performance of Support Vector Machines and Other Pattern Classifiers. In MIT Press, Cambridge, USA.
Besnard, P., Hunter, A. (1998). Introduction to actual and potential contradictions. In Gabbay, D., Smets, P. (Eds.), Handbook of Defeasible Reasoning and Uncertain Information. (pp. 1-10). Dordrecht: Kluwer Academic Publishers.
Besnard, P., Hunter, A. (Eds.), (1998). Reasoning with Actual and Potential Contradictions. Kluwer.
Clack, C., Braine, L., Haviland, K., Smith-Jaynes, O., Vautier, A. (1998). Simulating an object-oriented financial system in a functional language. London: Andersen Consulting.
Cristianini, N., Shawe-Taylor, J., Sykacek, P. (1998). Bayesian Classifiers are Large Margin Hyperplanes in a Hilbert Space. In (pp. 109-117). Morgan Kaufmann.
Dekker, L., Khan, S., West, E., Buxton, B.F., Treleaven, P. (1998). Models for understanding the 3D human body form.
Dubertret, B., Aste, T., Ohlenbusch, H.M., Rivier, N. (1998). Two-dimensional froths and the dynamics of biological tissues. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 58 (5 B), 6368-6378.
Herbster, M., Warmuth, M.K. (1998). Tracking the best expert. Machine Learning, 32 151-178.
Herbster, M., Warmuth, M.K. (1998). Tracking the best regressor.
Hirsch, R., Hodkinson, I., Marx, M., Mikulas, S., Reynolds, M. (1998). Appendix to 'A model logic of relations' by Venema and Marx. In Logic at Work - Essays Dedicated to the Memory of Helena Rasiowa. (pp. 158-167). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Hunter, A. (1998). Paraconsistent logics. In Gabbay, D., Smets, P. (Eds.), Handbook of Defeasible Reasoning and Uncertain Information. (pp. 11-36). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Hunter, A., McBrien, P. (1998). Default databases: Extending the approach of deductive databases using default logic. Data and Knowledge Engineering, 26 135-160.
Hunter, A., Nuseibeh, B. (1998). Managing inconsistent specifications: Reasoning, analysis and action. ACM Transactions on Software Engineering and Methodology, 7 (4), 335-367.
Hunter, A., Parsons, S. (1998). Introduction to uncertainty formalisms. In Hunter, A., Parsons, S. (Eds.), Applications of Uncertainty Formalisms. (pp. 1-7). Berlin: Springer-Verlag.
Hunter, A., Parsons, S. (Eds.), (1998). Applications of Uncertainty Formalisms. Springer.
Li, Z. (1998). Pop-out, feature conjunctions, and asymmetries in visual search in a model of intracortical interactions in V1. PERCEPTION, 27 (12), 1488-1489.
Li, Z. (1998). A neural model of contour integration in the primary visual cortex. Neural Computation, 10 903-940.
Ohlenbusch, H.M., Aste, T., Dubertret, B., Rivier, N. (1998). The topological structure of 2D disordered cellular systems. European Physical Journal B, 2 (2), 211-220.
Ohlenbusch, H.M., Rivier, N., Aste, T., Dubertret, B. (1998). Random networks in two dimensions. Simulations and correlations..
Parsons, S., Hunter, A. (1998). A review of uncertainty handling formalisms. In Hunter, A., Parsons, S. (Eds.), Applications of Uncertainty Formalisms. (pp. 8-37). Berlin: Springer-Verlag.
Pontil, M., Rogai, S., Verri, A. (1998). Recognizing 3-D Objects with Linear Support Vector Machines.
Pontil, M., Verri, A. (1998). Support vector machines for 3D object recognition. IEEE Trans. Pattern Anal. Mach. Intell., 20 (6), 637-646.
Pontil, M., Verri, A. (1998). Properties of support vector machines. Neural Computation, 10 955-974.
Rising, B., Daalen, M., Shawe-Taylor, J., Burge, P., Zerovnik, J. (1998). A neural accelerator for graph colouring based on an edge adding technique. In .
Shawe-Taylor, J. (1998). Classification Accuracy based on Observed Margin. Algorithmica, 22 157-172.
Shawe-Taylor, J. (1998). Preface to the Special issue on the Vapnik-Chervonenkis dimension. In (pp. 1-2). Elsevier Science.
Shawe-Taylor, J. (1998). Special Issue of DAM on the Vapnik-chervonenkis Dimension.. Discrete Applied Mathematics, 86 (1), 1-2. doi:10.1016/S0166-218X(98)00019-5
Shawe-Taylor, J., Bartlett, P., Williamson, R., Anthony, M. (1998). Structural Risk Minimization over Data-Dependent Hierarchies. IEEE Transactions on Information Theory, 44 (5), 1926-1940.
Shawe-Taylor, J., Cristianini, N. (1998). Data-Dependent Structural Risk Minimisation for Perceptron Decision Trees. In MIT Press.
Shawe-Taylor, J., Cristianini, N. (1998). Robust Bounds on Generalization from the Margin Distribution. .
Sollich, P., Barber, D. (1998). Online Learning from Finite Training Sets and Robustness to Input Bias.. Neural Computation, 10 (8), 2201-2217. doi:10.1162/089976698300017034
Szeto, K.Y., Aste, T., Tam, W.Y. (1998). Topological correlations in soap froths. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 58 (2 SUPPL. B), 2656-2659.
Vekaria, K., Clack, C. (1998). Selective crossover in genetic algorithms.
Vekaria, K., Clack, C. (1998). Selective crossover in genetic algorithms: an empirical study. Lecture Notes in Computer Science, 1498 438-447. doi:10.1007/BFb0056843
Williams, C.K.I., Barber, D. (1998). Bayesian Classification With Gaussian Processes.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20 (12), 1342-1351. doi:10.1109/34.735807
Yu, T., Clack, C. (1998). PolyGP: a polymorphic genetic programming system in Haskell.
Yu, T., Clack, C. (1998). Recursion, Lamba abstraction and genetic programming.

1997

(1997). Emerging Technologies 1997: Theory and Application of Evolutionary Computation. UCL Department of Computer Science.
Anthony, M., Shawe-Taylor, J. (1997). A sufficient condition for polynomial distribution-dependent learnability. Discrete Applied Mathematics, 77 (1), 1-12.
Aste, T. (1997). Random walk on disordered networks. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 55 (5 SUPPL. B), 6233-6236.
ASTE, T.O.M.A.S.O., RIVIER, N.I.C.O.L.A.S. (1997). TOPOLOGICAL MAPS AND MODELS OF SHAPES. International Journal of Shape Modeling, 03 (01n02), 1-16. doi:10.1142/S0218654397000033
Aste, T., Rivier, N. (1997). Topological modelling of disordered cellular structures..
Barber, D. (1997). OhioLINK: A Consortial Approach to Digital Library Management.. D-Lib Magazine, 3
Barber, D., Bishop, C.M. (1997). Ensemble Learning for Multi-Layer Networks..
Barber, D., Schottky, B. (1997). Radial Basis Functions: A Bayesian Treatment..
Besnard, P., Farinoas, D.C., Gabbay, D., Hunter, A. (1997). Logical Handling of Default and Inconsistent Information. In Motro, A., Smets, P. (Eds.), Uncertainty Management in Information Systems. (pp. 325-341). Dordrecht, The Netherlands: Kluwer Academic Publishers.
Braine, L., Clack, C. (1997). The CLOVER Rewrite Rules: A Translation from OOFP to FP.
Braine, L., Clack, C. (1997). Object-Flow.
Braine, L., Clack, C. (1997). Introducing CLOVER: An object-oriented functional language. Lecture Notes in Computer Science, 1268 1-20. doi:10.1007/3-540-63237-9_16
Burge, P., Shawe-Taylor, J. (1997). Detecting Cellular Fraud Using Adaptive Prototypes. In (pp. 9-13). AAAI Press.
Burge, P., Shawe-Taylor, J., Cooke, C., Moreau, Y., Preneel, B., Stoermann, C. (1997). Advanced Fraud Detection Techniques for Mobile Telephone Systems. In (pp. 91-96). IEE.
Burge, P., Shawe-Taylor, J., Moreau, Y., Verrelst, H., Stoermann, C., Gosset, P. (1997). BRUTUS - A Hybrid Detection Tool. In .
Cholvy, L., Hunter, A. (1997). Information fusion in logic: A brief overview.
Cholvy, L., Hunter, A. (1997). Information Fusion in Logic.
Clack, C., Braine, L. (1997). Object-Oriented Functional Spreadsheets.
Clack, C., Farringdon, J., Lidwell, P., Yu, T. (1997). Autonomous document classification for business.
Clack, C., Yu, T. (1997). Performance-Enhanced Genetic Programming. Lecture Notes in Computer Science, 1213 87-100. doi:10.1007/BFb0014803
Dunkin, N., Shawe-Taylor, J., Koiran, P. (1997). A new incremental learning technique.
Gorse, D. (1997). Application of Weak Classifier Architectures to Protein Structure Classification.
Gorse, D., Romano-Critchley, D., Taylor, J.G. (1997). A Pulse-Based Reinforcement Algorithm for Learning Continuous Functions. Neurocomputing, 14 319-344.
Gorse, D., Shepherd, A.J., Taylor, J.G. (1997). The New ERA in Supervised Learning. Neural Networks, 10 (2), 343-352.
Hirsch, R. (1997). Expressive Power and Complexity in Algebraic Logic. Journal of Logic and Computation, 7 (3), 309-351.
Hirsch, R. (1997). The Finite Representable Relation Algebras are not Recursive (Abstract)..
Hirsch, R., Hodkinson, I. (1997). Step by Step - Building Representations in Algebraic Logic. Journal of Symbolic Logic, 62 (1), 225-279.
Hirsch, R., Hodkinson, I. (1997). Complete Representations in Algebraic Logic. Journal of Symbolic Logic, 62 (3), 816-847.
Hirsch, R., Hodkinson, I. (1997). Axiomatising Various Classes of Relation and Cylindric Algebras. Logic Journal of the IGPL, 5 (2), 209-229. doi:10.1093/jigpal/5.2.209
Hunter, A. (1997). Using default logic for lexical knowledge.
Hunter, A. (1997). Using Default Logic for Lexical Knowlegde.
Hunter, A., Nuseibeh, B. (1997). Analysing inconsistent specifications.
Pontil, A., Verri, A. (1997). Direct Aspect-Based 3D Object Recognition.
Rising, B., Daalen, M., Burge, P., Shawe-Taylor, J. (1997). Parallel Graph Colouring Using FPGAs. In (pp. 121-130). Springer, 1304.
Shawe-Taylor, J. (1997). Confidence Estimates of Classification Accuracy on New Examples. In (pp. 260-271). Springer.
Shawe-Taylor, J., Williamson, R. (1997). A PAC Analysis of a Bayes Estimator. In (pp. 2-9). ACM Press.
Sollich, P., Barber, D. (1997). On-line Learning from Finite Training Sets in Nonlinear Networks..
Vekaria, K., Clack, C. (1997). Genetic Programming with Gene Dominance.
Yu, T., Clack, C. (1997). PolyGP: A Polymorphic Genetic Programming System in Haskell.

1996

(1996). Emerging Technologies 1996: Software - the Next Generation. UCL Department of Computer Science.
Anthony, M., Bartlett, P., Ishai, Y., Shawe-Taylor, J. (1996). Valid generalisation from approximate interpolation. Combinatorics, Probability and Computing, 5 191-214.
Aste, T. (1996). Circle, sphere, and drop packings.. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 53 (3), 2571-2579.
Aste, T., Boosé, D., Rivier, N. (1996). From one cell to the whole froth: A dynamical map.. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 53 (6), 6181-6191. doi:10.1103/physreve.53.6181
Aste, T., Szeto, K.Y., Tam, W.Y. (1996). Statistical properties and shell analysis in random cellular structures.. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 54 (5), 5482-5492.
Auer, P., Herbster, M., Warmuth, M.K., o.t.h.e.r.s. (1996). Exponentially many local minima for single neurons.
Barber, D., Bishop, C.M. (1996). Bayesian Model Comparison by Monte Carlo Chaining..
Barber, D., Williams, C.K.I. (1996). Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo..
Barringer, H., Brough, D., Fisher, M., Gabbay, D., Hodkinson, I., Hunter, A., ...Reynolds, M. (1996). Languages, meta-languages, and Metatem: A discussion paper. Logic Journal of the IGPL, 4 (2), 255-272. doi:10.1093/jigpal/4.2.255
Baumgartner, E., Baumgartner, W., Borstner, B., Potrc, M., Shawe-Taylor, J., Valentine, E. (1996). Handbook of Phenomenology and Cognitive Science. Dettelbach, R"oll.
Baxter, J., Shawe-Taylor, J. (1996). Learning to compress ergodic sources. In IEEE Computer Society Press.
Besnard, P., Cerro, L.F.D., Gabbay, D.M., Hunter, A. (1996). Logical Handling of Inconsistent and Default Information.. In Uncertainty Management in Information Systems. (pp. 325-342). .
Burge, P., Shawe-Taylor, J. (1996). Frameworks For Fraud Detection In Mobile Telecommunications Networks. In .
Burge, P., Shawe-Taylor, J., Zerovnik, J. (1996). Graph Colouring by Maximal Evidence Edge Adding. In .
Clack, C.D. (1996). Using Genetic Computation at Friends of the Earth.
CLACK, C., Gould, S.J., Lidwell, P.R., McDonnell, J.T. (1996). Advanced Technology Support for Information Management at Friends of the Earth.
Clack, C., Myers, C., Poon, E. (1996). Programmieren in Miranda. Prentice Hall Verlag GMBH.
Hirsch, R. (1996). Mathematics - the pure science. Science and Society, 60 (1), 58-79.
Hirsch, R. (1996). Relation algebras of intervals. Artificial Intelligence Journal, 83 1-29.
Hirsch, R. (1996). Relation Algebras of Intervals.. ARTIFICIAL INTELLIGENCE, 83 (2), 267-295. doi:10.1016/0004-3702(95)00042-9
Hunter, A. (1996). Intelligence text handling default logic.
Hunter, A. (1996). Uncertainty in Information Systems. McGraw-Hill.
Li, Z. (1996). A theory of the visual motion coding in the primary visual cortex. Neural Computation, 8 705-730.
Moreau, Y., Preneel, B., Burge, P., Shawe-Taylor, J., Stoermann, C., Cooke, C. (1996). Novel techniques for fraud detection in mobile communications.
Pao, Y.H., Treleaven, P., BenDavid, A. (1996). Presenting the special issue on financial applications. NEUROCOMPUTING, 10 (2), 121-122. doi:10.1016/0925-2312(95)00107-7
Pignon, D., Parmiter, P., Slack, J., Hands, M., Hall, T., Daalen, M., Shawe-Taylor, J. (1996). Sigmoid Neural Transfer Function Realised by Percolation. Optics Letters, 21 (3), 222-224.
Rivier, N., Aste, T. (1996). Curvature and frustration in cellular systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 354 (1715), 2055-2069.
Shawe-Taylor, J. (1996). Continuous Models of Computation. In Josef H R?ll, Dettelbach, Germany.
Shawe-Taylor, J. (1996). Fast string matching in stationary ergodic sources. Combinatorics, Probability and Computing, 5 415-427.
Shawe-Taylor, J. (1996). Mathematical Models of Learning and Connectionism. In Dettelbach, R?ll.
Shawe-Taylor, J., Bartlett, P., Williamson, R., Anthony, M. (1996). A framework for structural risk minimization. In (pp. 68-76). ACM Press.
Shawe-Taylor, J., Zhao, J. (1996). Generalisation of a Class of Continuous Neural Networks. In (pp. 267-273). MIT Press.
Sollich, P., Barber, D. (1996). Online Learning from Finite Training Sets: An Analytical Case Study..
Wood, J., Shawe-Taylor, J. (1996). A Unifying Framework for Invariant Pattern Recognition. Pattern Recognition Letters, 17 (0167-8655), 1415-1422.
Wood, J., Shawe-Taylor, J. (1996). Representation theory and invariant neural networks. Discrete Applied Mathematics, 69 (1-2), 33-60.
Zhao, J., Shawe-Taylor, J., Daalen, M. (1996). Learning in Stochastic Bit Stream Neural Networks. Neural Networks, 9 (6), 991-998.

1995

Anthony, M., Brightwell, G., Shawe-Taylor, J. (1995). On Specifying Boolean Functions by Labelled Examples. Discrete Applied Mathematics, 61 (1), 1-25.
Aste, T. (1995). Equilibrium and evolution of froths under topological constraints. Philosophical Magazine B: Physics of Condensed Matter; Statistical Mechanics, Electronic, Optical and Magnetic Properties, 71 (5), 967-979. doi:10.1080/01418639508243600
Aste, T., Botter, R., Beruto, D. (1995). Double-layer granular SnO2 sensors. Sensors and Actuators: B. Chemical, 25 (1-3), 826-829. doi:10.1016/0925-4005(95)85184-4
Aste, T., Rivier, N. (1995). Random cellular froths in spaces of any dimension and curvature. Journal of Physics A: Mathematical and General, 28 (5), 1381-1398. doi:10.1088/0305-4470/28/5/023
Barber, D., Saad, D. (1995). Knowledge and generalisation in simple learning systems..
Besnard, P., Hunter, A. (1995). Quasi-classical logic: Non-trivializable classical reasoning from inconsistent information.
Borstner, B., Shawe-Taylor, J. (Eds.), (1995). Consciousness at the Crossroads of Philosophy and Cognitive Science, Special issue of Journal of Consciousness Studies. Thorverton: Imprint Academic.
Burge, P., Shawe-Taylor, J. (1995). Adapting the Energy Landscape for MFA. Journal of Artificial Neural Networks, 2 (4), 449-454.
Burge, P., Shawe-Taylor, J. (1995). Bitstream Neurons for Graph Colouring. Journal of Artificial Neural Networks, 2 (4), 443-448.
Clack, C., Clayman, S., Parrott, D. (1995). Lexical Profiling: Theory and Practice. Journal of Functional Programming, 5 (2), 225-277.
Clack, C., Myers, C. (1995). The Dys-functional student. Lecture Notes in Computer Science, 1022 289-309. doi:10.1007/3-540-60675-0_51
Clack, C., Myers, C., Poon, E. (1995). Programming with Miranda. Prentice Hall International.
CLARKSON, T.G., TAYLOR, J.G., GORSE, D. (1995). UNTITLED - REPLY. NEURAL NETWORKS, 8 (3), 491. doi:10.1016/0893-6080(95)90001-2
Clarkson, T.G., Taylor, J.G., Gorse, D. (1995). Response to letter by K. Gurney..
Domingo, C., Shawe-Taylor, J. (1995). The Complexity of Learning Minor Closed Graph Classes. In (pp. 249-260). Springer.
Elvang-Goransson, M., Hunter, A. (1995). Argumentative logics: Reasoning from classically inconsistent information. Data and Knowledge Engineering, 16 125-145.
Hirsch, R. (1995). Intractability in the Allen and Koomen planner.. Computational Intelligence, 11 (4), 553-564.
Hirsch, R. (1995). Completely representable relation algebras.. Bulletin of the Interest Group in Pure and Applied Logics, 3 (1), 77-92.
Hunter, A. (1995). Using default logic in information retrieval.
Peyton Jones, S.L., Clack, C.D., Salkild, J.D. (1995). High-performance parallel graph reduction. In Skillikorn, D.B., Talia, D. (Eds.), Programming Languages for Parallel Processing. (pp. 254-247). IEEE Computer Society Press.
Shawe-Taylor, J. (1995). Generalisation Analysis for Classes of Continuous Neural Networks. In (pp. 2944-2948). IEEE Neural Networks Council.
Shawe-Taylor, J. (1995). Sample Sizes for Threshold Networks with Equivalences. Information and Computation, 118 (1), 65-72.
Shawe-Taylor, J. (1995). Sample sizes for sigmoidal neural networks. In (pp. 258-264). ACM Press.
Shawe-Taylor, J., Shawe-Taylor, M. (1995). Consciousness as a Linear Phenomenon. In (pp. 32-38). Thorverton: Imprint Academic.
Shawe-Taylor, J., Zerovnik, J. (1995). Analysis of the Mean Field Annealing Algorithm for Graph Colouring. Journal of Artificial Neural Networks, 2 (4), 329-340.
Wood, J., Shawe-Taylor, J. (1995). .
Wood, J., Shawe-Taylor, J. (1995). Neural networks for invariant pattern recognition..
Zhao, J., Shawe-Taylor, J. (1995). Stochastic Connection Neural Networks. In (pp. 35-39). IEE Conference Publication 409.

1994

Anthony, M., Shawe-Taylor, J. (1994). A Result of Vapnik with Applications.. Discrete Applied Mathematics, 52 (2), 211. doi:10.1016/0166-218X(94)00025-5
Anthony, M., Shawe-Taylor, J. (1994). Valid Generalisation of Functions from Close Approximations on a Sample. In Oxford University Press.
Anthony, M., Shawe-Taylor, J. (Eds.), (1994). First European Conference on Computational Learning Theory (EuroCOLT'93). Oxford University Press.
Aste, T., Beruto, D., Botter, R., Ciccarelli, C., Giordani, M., Pozzolini, P. (1994). Microstructural development during the oxidation process in SnO2 thin films for gas sensors. Sensors and Actuators: B. Chemical, 19 (1-3), 637-641. doi:10.1016/0925-4005(93)01218-S
Aste, T., Eggenhöffner, R., d'Agliano, E.G. (1994). Effects of doping and Cu-substitution in the magnetic susceptibility of the La2-xSrxCu1-yZnyO4 +δ system. Solid State Communications, 91 (4), 307-311. doi:10.1016/0038-1098(94)90307-7
Botter, R., Aste, T., Beruto, D. (1994). Influence of microstructures on the functional properties of tin oxide-based gas sensors. Sensors and Actuators: B. Chemical, 22 (1), 27-35. doi:10.1016/0925-4005(94)01257-1
Clack, C. (1994). GRIP: the GRIP Multiprocessor. In Fountain, T.J. (Ed.), Parallel Computing principles and practice. (pp. 266-275). Cambridge University Press.
courtenage, S., clack, C.D. (1994). Analysing Resource Use in the Lambda Calculus by Type Inference.
Crossland, W., Hall, T., Shawe-Taylor, J., Daalen, M. (1994). Optical implementation of a stochastic neural system. In (pp. 395-398). IOP Publishing.
Daalen, M., Kosel, T., Jeavons, P., Shawe-Taylor, J. (1994). Emergent activation functions from a stochastic bit stream neuron. Electronics Letters, 30 (4), 331-333.
Domingo, C., Shawe-Taylor, J., Bodlaender, H., Abello, J. (1994). Learning Minor Closed Graph Classes with Membership and Equivalence Queries. .
Filho, J.L.R., Treleaven, P.C. (1994). GAME: A Framework for Programming Genetic Algorithms Applications..
Filho, J.L.R., Treleaven, P.C., Alippi, C. (1994). Genetic-Algorithm Programming Environments.. COMPUTER, 27 (6), 28-29. doi:10.1109/2.294850
Finkelstein, A., Gabbay, D., Hunter, A., Kramer, J., Nuseibeh, B. (1994). Inconsistency handling in multi-perspective specifications. IEEE Transactions on Software Engineering, 20 (8), 569-578.
GORSE, D., SHEPHERD, A., TAYLOR, J.G. (1994). A CLASSICAL ALGORITHM FOR AVOIDING LOCAL MINIMA.
GORSE, D., TAYLOR, J.G., CLARKSON, T.G. (1994). A PULSE-BASED REINFORCEMENT ALGORITHM FOR LEARNING CONTINUOUS-FUNCTIONS.
Grate, L., Herbster, M., Hughey, R., Haussler, D., Mian, I.S., Noller, H. (1994). RNA modeling using Gibbs sampling and stochastic context free grammars.
GUAN, Y., CLARKSON, T.G., TAYLOR, J.G., GORSE, D. (1994). NOISY REINFORCEMENT TRAINING FOR PRAM NETS. NEURAL NETWORKS, 7 (3), 523-538. doi:10.1016/0893-6080(94)90110-4
Hirsch, R. (1994). From points to intervals. Journal of Applied Non-classical Logics, 4 (1), 7-27.
Hunter, A. (1994). Defeasible reasoning with structured information.
Jeavons, P., Cohen, D., Shawe-Taylor, J. (1994). Generating Binary Sequences for Stochastic Computing. IEEE Transactions on Information Theory, 40 (3), 716-720.
Kim, J., Shawe-Taylor, J. (1994). Fast String Matching using an $n$-gram Algorithm. Software: Practice and Experience, 24 (1), 79-88.
Kim, J.Y., Shawe-Taylor, J. (1994). Fast Expected string Machine using an n-gram Algorithm. Software: Practice and Experience, 24 79-88.
Li, Z., Atick, J.J. (1994). Towards a theory of striate cortex. Neural Computation, 62 349-391.
Li, Z., Atick, J.J. (1994). Efficient stereo coding in the multiscale representation. Network: Computation in neural systems, 5 157-174.
Shawe-Taylor, J. (1994). Coverings of Complete Bipartite Graphs and Associated Structures. Discrete Mathematics, 134 151-160.
Shawe-Taylor, J. (1994). Introducing invariance: a principled approach to weight sharing. In (pp. 345-349). .
Shawe-Taylor, J., Pisanski, T. (1994). Homeomorphism of 2-Complexes is Graph Isomorphism Complete. SIAM Journal on Computing, 23 (1), 120-132.
Shawe-Taylor, J., Pisanski, T. (1994). Molecular Graph Eigenvectors for Molecular Coordinates. In (pp. 282-285). Springer Verlag.
Zhao, J., Shawe-Taylor, J. (1994). Neural Network Optimization for Good Generalization Performance. In (pp. 561-564). Springer-Verlag.

1993

Anthony, M., Shawe-Taylor, J. (1993). Using the Perceptron Algorithm to Find Consistent Hypotheses. Combinatorics, Probability and Computing, 2 385-387.
Anthony, M., Shawe-Taylor, J. (1993). Generalising from Approximate Interpolation. .
Anthony, M., Shawe-Taylor, J. (1993). Bounds On the Complexity of Testing and Loading Neurons. In (pp. 756-759). Springer Verlag.
Anthony, M., Shawe-Taylor, J. (1993). A Result of Vapnik with Applications. Discrete Applied Mathematics, 47 (3), 207-217.
Balou, A.T., Treleaven, P.C. (1993). A Concurrent Object-Oriented Model for Parallel Distributed-Memory Architectures..
CLARKSON, T.G., GUAN, Y., TAYLOR, J.G., GORSE, D. (1993). GENERALIZATION IN PROBABILISTIC RAM NETS. IEEE TRANSACTIONS ON NEURAL NETWORKS, 4 (2), 360-363. doi:10.1109/72.207603
Cussens, J., Hunter, A. (1993). Using maximum entropy in a defeasible logic with probabilistic semantics.
Cussens, J., Hunter, A., Srinivasan, A. (1993). .
Daalen, M., Jeavons, P., Shawe-Taylor, J. (1993). A stochastic neural architecture that exploits dynamically reconfigurable FPGAs. In (pp. 202-211). IEEE Computer Society Press.
Daalen, M., Jeavons, P., Shawe-Taylor, J., Cohen, D. (1993). A Device for Generating Binary Sequences for Stochastic Computing. Electronics Letters, 29 (1), 80-81.
Daalen, M., Zhao, J., Shawe-Taylor, J. (1993). Real time output derivatives for on chip learning using digital stochastic bit stream neurons. Electronics Letters, 30 (21), 1775-1777.
Finkelstein, A., Gabbay, D.M., Hunter, A., Kramer, J., Nuseibeh, B. (1993). Inconsistency Handling in Multi-Perspective Specifications.
Gabbay, D., Hunter, A. (1993). Making inconsistency respectable: part 2 - meta-level handling of inconsistent data.
Gabbay, D., Hunter, A. (1993). Restricted access logics for inconsistent information.
Gorse, D., Shepherd, A.J., Taylor, J.G. (1993). Traking global minima using a range expansion algorithm..
GORSE, D., SHEPHERD, A., TAYLOR, J.G. (1993). TRACKING GLOBAL MINIMA BY PROGRESSIVE RANGE EXPANSION.
GORSE, D., TAYLOR, J.G., CLARKSON, T.G. (1993). A HARDWARE-IMPLEMENTABLE ALGORITHM FOR LEARNING NONLINEAR FUNCTIONS.
GORSE, D., TAYLOR, J.G., CLARKSON, T.G. (1993). LEARNING REAL-VALUED FUNCTIONS USING A HARDWARE-IMPLEMENTABLE STOCHATIC REINFORCEMENT ALGORITHM.
GUAN, Y., CLARKSON, T.G., TAYLOR, J.G., GORSE, D. (1993). A STOCHASTIC REVERSE INTERPOLATION ALGORITHM FOR REAL-VALUED FUNCTION LEARNING.
Kim, J., Shawe-Taylor, J. (1993). Fast Expected Two Dimensional Pattern Matching. In (pp. 77-92). Carleton University Press, International Informatics Series.
Myers, C., Clack, C., Poon, E. (1993). Programming with Standard ML. Prentice Hall International.
Nigri, M.E., Treleaven, P.C. (1993). High Level Syntheses of Neural Network Chips..
Pacheco, M.A.C., Treleaven, P.C. (1993). A Risc Architecture to Support Neural Net Simulation..
Shawe-Taylor, J. (1993). Symmetries and Discriminability in Feedforward Network Architectures. IEEE Transactions on Neural Networks, 4 (5), 816-826.
Shawe-Taylor, J., Anthony, M., Biggs, N. (1993). Bounding Sample Size with the Vapnik-Chervonenkis Dimension. Discrete Applied Mathematics, 42 (1), 65-73.
Shawe-Taylor, J., Pisanski, T. (1993). Characterising Graph Drawing with Eigenvectors. .
Shawe-Taylor, J., Zerovnik, J. (1993). Analysis of the Mean Field Annealing Algorithm for Graph Colouring. .
Treleaven, P.C., Rocha, P.V. (1993). Hybrid Programming Environments..
Vellasco, M.M.B.R., Treleaven, P.C. (1993). The Generic Neuron Architectural Framework for the Automatic Generation of ASICs..
Wood, J., Shawe-Taylor, J. (1993). Theory of symmetry network structure. .

1992

Anthony, M., Brightwell, G., Cohen, D., Shawe-Taylor, J. (1992). On Exact Specification by Examples. In (pp. 311-318). ACM Press.
Atick, J.J., Li, Z., Redlich, N. (1992). Understanding Retinal Color Coding from First Principles. Neural Computation, 4 559-572.
Clarkson, T.G., Gorse, D., Taylor, J.G. (1992). From Wetware to Hardware: Reverse Engineering Using Probabilistic RAMs. Journal of Intelligent Systems, 2 (1-4), 11-30. doi:10.1515/JISYS.1992.2.1-4.11
CLARKSON, T.G., GORSE, D., TAYLOR, J.G., NG, C.K. (1992). LEARNING PROBABILISTIC RAM NETS USING VLSI STRUCTURES. IEEE TRANSACTIONS ON COMPUTERS, 41 (12), 1552-1561. doi:10.1109/12.214663
Finkelstein, A., Gabbay, D., Hunter, A., Kramer, J., Nuseibeh, B. (1992). Inconsistency handling in multi-perspective specifications.
Gabbay, D., Gillies, D., Hunter, A., Muggleton, S., Ng, Y., Richards, B. (1992). The rule-based systems project: Using confirmation theory and non-monotonic logics for incremental learning. In Inductive Logic Programming. Academic Press.
GUAN, Y., CLARKSON, T.G., TAYLOR, J.G., GORSE, D. (1992). THE USE OF ENCODED OUTPUTS AND REINFORCEMENT TRAINING IN PRAM NETS.
Hunter, A. (1992). A conceptualization of preferences in non-monotonic proof theory.
Kim, J., Shawe-Taylor, J. (1992). An Approximate String Matching Algorithm. Theoretical Computer Science, 92 (1), 107-117.
Kim, J., Shawe-Taylor, J. (1992). Fast Multiple Keyword Searching. In (pp. 41-51). Spinger-Verlag.
Parrott, D., Clack, C. (1992). A common graphical form.
RECCE, M.L., ROCHA, P.V., TRELEAVEN, P.C. (1992). NEURAL NETWORK PROGRAMMING ENVIRONMENTS.
Shawe-Taylor, J. (1992). Proportion of primes generated by strong prime methods. Electronics Letters, 28 (2), 135-136.
Shawe-Taylor, J. (1992). Mean Field Annealing as a Barrier Function Optimisation and Alternative Solution Strategies. .
Shawe-Taylor, J. (1992). Threshold Network Learning in the Presence of Equivalences. In (pp. 879-886). Morgan Kaufmann.
Shawe-Taylor, J., Anthony, M., Kern, W. (1992). Classes of Feedforward Neural Networks and their Circuit Complexity. Neural Networks, 5 (6), 971-977.
Shawe-Taylor, J., Zerovnik, J. (1992). Boltzmann machines with finite alphabet. In (pp. 391-394). Elsevier Science and Technology Books.

1991

Aste, T., Galleani d'Agliano, E., Napoli, F. (1991). AFM paramagnons in doped CuO2 layers and superconducting pairing. Physica C: Superconductivity and its applications, 182 (4-6), 307-314. doi:10.1016/0921-4534(91)90527-6
Barringer, J., Fisher, M., Gabbay, D., Hunter, A. (1991). Meta-reasoning in executable temporal logic.
CLARKSON, T.G., GORSE, D., GUAN, Y., TAYLOR, J.G. (1991). APPLICATIONS OF THE PRAM.
CLARKSON, T.G., GORSE, D., TAYLOR, J.G. (1991). BIOLOGICALLY PLAUSIBLE LEARNING IN HARDWARE REALIZABLE NETS.
CLARKSON, T., NG, T., GORSE, D., TAYLOR, J. (1991). A SERIAL-UPDATE VLSI ARCHITECTURE FOR THE LEARNING PROBABILISTIC RAM NEURON.
Cussens, J., Hunter, A. (1991). Using defeasible logic for a window on a probabilistic database: some preliminary notes.
Daalen, M., Jeavons, P., Shawe-Taylor, J. (1991). Probabilistic Bit Stream Neural Chip: Implementation. In (pp. 285-294). New York: Plenum.
Gabbay, D., Hodkinson, I., Hunter, A. (1991). Using the temporial logic RDL for design specifications. In Concurrency: Theory, Language and Applications. (pp. 64-78). Springer.
Gabbay, D., Hunter, A. (1991). Making inconsistency respectable: a logical framework for inconsistency reasoning, part 1 - a position paper.
GORSE, D., TAYLOR, J.G. (1991). REINFORCEMENT TRAINING STRATEGIES FOR PROBABILISTIC RAMS.
GORSE, D., TAYLOR, J.G. (1991). ENCODING TEMPORAL STRUCTURE IN PROBABILISTIC RAM NETS.
GORSE, D., TAYLOR, J.G. (1991). LEARNING SEQUENTIAL STRUCTURE WITH RECURRENT PRAM NETS.
GORSE, D., TAYLOR, J.G. (1991). A CONTINUOUS INPUT RAM-BASED STOCHASTIC NEURAL MODEL. NEURAL NETWORKS, 4 (5), 657-665. doi:10.1016/0893-6080(91)90019-2
Hunter, A. (1991). Developments in artificial intelligence reasoning. In Artificial Intelligence in Engineering. (pp. 295-335). John Wiley.
Hunter, A. (1991). Execution of defeasible temporal clauses for building preferred models.
Parrott, D., clack, C.D. (1991). Paragon - a Language for Modelling Lazy, Functional Workloads on Distributed Processors. .
Shawe-Taylor, J. (1991). The Asymptotic Equipartition Property for Two dimensional Ergodic Arrays. .
Shawe-Taylor, J., Anthony, M. (1991). Sample Sizes for Multiple Output Threshold Networks. Network, 2 (1), 107-117.
Shawe-Taylor, J., Jeavons, P., Daalen, M. (1991). Probabilistic Bit Stream Neural Chip: Theory. Connection Science, 3 (3), 317-328.
TRELEAVEN, P. (1991). NEURAL COMPUTING AND THE GALATEA PROJECT. LECTURE NOTES IN COMPUTER SCIENCE, 505 25-33.
TRELEAVEN, P.C. (1991). PYGMALION - NEURAL NETWORK PROGRAMMING ENVIRONMENT.
Treleaven, P.C. (1991). Neural Computing and the GALATEA Project..
Treleaven, P.C. (1991). Europe 1992 and Its Impact on Information Technology.. COMPUTER, 24 (9), 98-99. doi:10.1109/2.84904

1990

Anthony, M., Biggs, N., Shawe-Taylor, J. (1990). The Learnability of Formal Concepts. In (pp. 246-257). Morgan Kaufmann.
Clack, C. (1990). GRIP Status Update - 1989. In Fountain, T.J., Shute, M. (Eds.), Multiprocessor Computer Architectures. (pp. 119-120). Elsevier Science Publishers.
Cohen, D., Shawe-Taylor, J. (1990). Daugman's Gabor transform as a simple generative back-propagation network. Electronics Letters, 26 (16), 1241-1243.
GORSE, D., TAYLOR, J.G. (1990). TRAINING STRATEGIES FOR PROBABILISTIC RAMS.
GORSE, D., TAYLOR, J.G. (1990). HARDWARE REALIZABLE LEARNING ALGORITHMS.
GORSE, D., TAYLOR, J.G. (1990). A GENERAL-MODEL OF STOCHASTIC NEURAL PROCESSING. BIOLOGICAL CYBERNETICS, 63 (4), 299-306. doi:10.1007/BF00203453
Li, Z. (1990). A model of olfactory adaptation and sensitivity enhancement in the olfactory bulb.. Biological Cybernetics, 62 349-361.
OMNES, J.F., VANDERPYL, T., TRELEAVEN, P. (1990). PARALLEL COMPUTING IN EUROPE. IEEE MICRO, 10 (6), 8-10.
Peyton Jones, S.L., Clack, C., Salkild, J., Hardie, M. (1990). GRIP - a high performance architecture for parallel graph reduction. In Fountain, T.J., Shute, M. (Eds.), Multiprocessor Computer Architectures. (pp. 101-118). Elsevier Science Publishers.
Shawe-Taylor, J., Cohen, D. (1990). The Linear Programming Algorithm for Neural Networks. Neural Networks, 3 (5), 575-582.

1989

Bressloff, P.C., Gorse, D., Taylor, J.G. (1989). Non-linear model of memory. IJCNN Int Jt Conf Neural Network, 601-.
Chambers, W.G., Clarkson, T., Gorse, D., Taylor, J.G. (1989). Hardware realisable models of neural processing. 665-.
CLARKSON, T.G., GORSE, D., TAYLOR, J.G. (1989). HARDWARE REALIZABLE MODELS OF NEURAL PROCESSING.
Cohen, D., Shawe-Taylor, J. (1989). Feedforward Neural Networks: a Tutorial. In Inst of Physics Pub Inc.
DEBAKKER, J.W., TRELEAVEN, P.C. (1989). PARLE - CONFERENCE ON PARALLEL ARCHITECTURES AND LANGUAGES - EUROPE, 15-19 JUNE 1987, EINDHOVEN, THE NETHERLANDS. PARALLEL COMPUTING, 9 (2), 127. doi:10.1016/0167-8191(89)90123-3
DELCORSO, D., GROSSPIETSCH, K.E., TRELEAVEN, P. (1989). EUROPEAN APPROACHES TO VLSI NEURAL NETWORKS. IEEE MICRO, 9 (6), 5-7.
GORSE, D. (1989). A NEW MODEL OF THE NEURON.
GORSE, D., TAYLOR, J.G. (1989). AN ANALYSIS OF NOISY RAM AND NEURAL NETS. PHYSICA D, 34 (1-2), 90-114. doi:10.1016/0167-2789(89)90229-7
Gorse, D., Taylor, J.G. (1989). Towards a hardware realisable model of the neuron. IJCNN Int Jt Conf Neural Network, 602-.
LEE, M.K.O., TRELEAVEN, P.C. (1989). A WIDE PURPOSE PARALLEL NEUROCOMPUTER SYSTEM.
Li, Z., Hopfield, J.J. (1989). Modeling the olfactory bulb and its neural oscillatory processings. Biological Cybernetics, 61 379-392.
Peyton Jones, S.L., Clack, C., Salkild, J. (1989). High-performance parallel graph reduction. Lecture Notes in Computer Science, 365 193-206. doi:10.1007/3540512845_40
REFENES, A.N., EBERBACH, E., MCCABE, S.C., TRELEAVEN, P.C. (1989). PARLE - A PARALLEL TARGET LANGUAGE FOR INTEGRATING SYMBOLIC AND NUMERIC PROCESSING. LECTURE NOTES IN COMPUTER SCIENCE, 366 181-198.
Riess, P., Shawe-Taylor, J. (1989). The RSA Public Key Cryptosystem. .
Shawe-Taylor, J. (1989). Review of "Cryptography - An Introduction to Computer Security", by Seberry and Peiprzek. Prentice Hall, Sydney.
Shawe-Taylor, J. (1989). Building Symmetries into Feedforward Networks. In (pp. 158-162). Inspec/Iee.
Treleaven, P.C. (1989). Neurocomputers.. Neurocomputing, 1 (1), 4-31. doi:10.1016/S0925-2312(89)80014-1
TRELEAVEN, P., PACHECO, M., VELLASCO, M. (1989). VLSI ARCHITECTURES FOR NEURAL NETWORKS. IEEE MICRO, 9 (6), 8-27. doi:10.1109/40.42984
TRELEAVEN, P., VELLASCO, M. (1989). NEURAL COMPUTING OVERVIEW.
VELLASCO, M.M.B.R., TRELEAVEN, P.C. (1989). A NEUROCOMPUTER EXPLOITING SILICON COMPILATION.

1988

Biggs, N., Mohar, B., Shawe-Taylor, J. (1988). The Spectral Radius of Infinite Graphs. Bulletin of the London Mathematical Society, 20 (2), 116-120.
Cohen, D., Mannion, C., Shawe-Taylor, J. (1988). Towards a Transformational Theory of Feedforward Neural Networks. In .
GORSE, D., TAYLOR, J.G. (1988). ON THE EQUIVALENCE AND PROPERTIES OF NOISY NEURAL AND PROBABILISTIC RAM NETS. PHYSICS LETTERS A, 131 (6), 326-332. doi:10.1016/0375-9601(88)90782-7
Peyton Jones, S.L., Clack, C., Salkild, J., Hardie, M. (1988). Functional Programming on the GRIP multiprocessor.
Shawe-Taylor, J. (1988). Consultancy Report on Feasibility of Applying Neural Network Techniques to Unmanned Vehicle Control. .
TRELEAVEN, P.C. (1988). PARALLEL ARCHITECTURE OVERVIEW. PARALLEL COMPUTING, 8 (1-3), 59-70. doi:10.1016/0167-8191(88)90109-3

1987

(1987). Future Parallel Computers, An Advanced Course, Pisa, Italy, June 9-20, 1986, Proceedings.
(1987). PARLE, Parallel Architectures and Languages Europe, Volume I: Parallel Architectures, Eindhoven, The Netherlands, June 15-19, 1987, Proceedings.
(1987). PARLE, Parallel Architectures and Languages Europe, Volume II: Parallel Languages, Eindhoven, The Netherlands, June 15-19, 1987, Proceedings.
Clack, C., Peyton Jones, S.L. (1987). Finding fixpoints in abstract interpretation. In Abramsky, S., Hankin, C. (Eds.), Abstract Interpretation of Declarative Languages. (pp. 246-265). Ellis Horwood.
Clack, C., Peyton Jones, S.L. (1987). The four-stroke reduction engine. In Thakkar, S.S. (Ed.), Selected Reprints on Dataflow and Reduction Architectures. (pp. 327-339). IEEE Computer Society Press.
Godsil, C., Shawe-Taylor, J. (1987). Distance-reguralised Graphs are Distance-regular or Distance-biregular. Journal of Combinatorial Theory, Series B, 43 (1), 14-24.
Peyton Jones, S.L., Clack, C., Salkild, J. (1987). GRIP: A parallel graph reduction machine. ICL Technical Journal, 5 (3), 595-599.
Peyton Jones, S.L., Clack, C., Salkild, J., Hardie, M. (1987). GRIP — a high-performance architecture for parallel graph reduction. Lecture Notes in Computer Science, 274 98-112. doi:10.1007/3-540-18317-5_7
Shawe-Taylor, J. (1987). Automorphism Groups of Primitive Distance-bitransitive Graphs are Almost Simple. European Journal of Combinatorics, 8 (2), 187-197.
Shawe-Taylor, J. (1987). Information and its Relation to Formalisms for the Complexities of the Real World. Journal of Information Technology., 2 (3), 151-155.
Shawe-Taylor, J. (1987). The Semantics and Open Set Analysis of a First Order Programming Language.
Treleaven, P.C., Refenes, A.N., Lees, K.J., McCabe, S.C. (1987). Computer Architectures for Artificial Intelligence.. LECTURE NOTES IN COMPUTER SCIENCE, 272 416-492.

1986

Biggs, N., Boshier, A., Shawe-Taylor, J. (1986). Cubic Distance-regular Graphs. Journal of the London Mathematical Society, 33 (2), 385-394.
Clack, C., Peyton Jones, S.L. (1986). The four-stroke reduction engine.
Shawe-Taylor, J. (1986). Generating Strong Primes. Electronics Letters, 22 (16), 875-877.
TRELEAVEN, P.C. (1986). FUTURE PARALLEL COMPUTERS. LECTURE NOTES IN COMPUTER SCIENCE, 237 40-47.

1985

Clack, C., Peyton Jones, S.L. (1985). Strictness analysis — a practical approach. Lecture Notes in Computer Science, 201 35-49. doi:10.1007/3-540-15975-4_28
LIMA, I.G., TRELEAVEN, P.C. (1985). PROGRAMMING-LANGUAGES FOR 5TH GENERATION COMPUTERS. COMPUTER PHYSICS COMMUNICATIONS, 38 (2), 221-231.
Mohar, B., Shawe-Taylor, J. (1985). Distance-biregular Graphs with 2-valent Vertices and Distance-regular Line Graphs. Journal of Combinatorial Theory, Series B, 38 (3), 193-203.
Pica, G., Pisanski, T., Shawe-Taylor, J. (1985). Generalised Chromatic Numbers of some Graphs II. Rivista di Matematica della Universit? di Parma, 11 (4), 375-379.
Shawe-Taylor, J. (1985). Regularity and Transitivity in Graphs.
TRELEAVEN, P.C. (1985). CONTROL-DRIVEN, DATA-DRIVEN AND DEMAND-DRIVEN COMPUTER ARCHITECTURE. PARALLEL COMPUTING, 2 (3), 287-288. doi:10.1016/0167-8191(85)90010-9

1984

Biggs, N., Shawe-Taylor, J. (1984). Rotations and Graphs with Large Girth. In Pitman Advanced Publ. Program.
Foti, L., English, D., Hopkins, R.P., Kinniment, D., Treleaven, P.C., Wang, W.L. (1984). Reduced-instruction set multi-microcomputer system.. AFIPS CONFERENCE PROCEEDINGS, 53 69-&.
TRELEAVEN, P.C., LIMA, I.G. (1984). FUTURE COMPUTERS - LOGIC, DATA FLOW, ... , CONTROL FLOW. COMPUTER, 17 (3), 47-+.

1983

GORSE, D., RESTUCCIA, A., TAYLOR, J.G. (1983). THE SPECTRUM OF MULTIPLETS WITH 2 OFF-SHELL CENTRAL CHARGES. JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 16 (13), 3037-3047. doi:10.1088/0305-4470/16/13/028
Lima, I.G., Mundy, D., Treleaven, P.C. (1983). Decentralised Control Flow Programming..
Pisanski, T., Shawe-Taylor, J., Mohar, B. (1983). 1-factorisation of the Composition of Regular Graphs. Publications de l'Institut Math?matique, 33 (47), 193-196.
Pisanski, T., Shawe-Taylor, J., Vrabec, J. (1983). Edge-Colorability of Graph Bundles. Journal of Combinatorial Theory, Series B, 35 (1), 12-19.
Treleaven, P.C. (1983). The New Generation of Computer Architecture.

1982

LU, X.D., TRELEAVEN, P.C. (1982). A SPECIAL-PURPOSE VLSI CHIP - A DYNAMIC PIPELINE UP-DOWN COUNTER. MICROPROCESSING AND MICROPROGRAMMING, 10 (1), 1-10. doi:10.1016/0165-6074(82)90116-8
Shawe-Taylor, J. (1982). Linearen Algoritem za Testiranje Planarnosti Grafov, (Linear Time Algorithm for Testing Graph Planarity).
Shawe-Taylor, J., Pisanski, T. (1982). Cycle Permutation Graphs with Large Girth. Glasnik Matemati?ki, 17 (2), 233-236.
TRELEAVEN, P.C. (1982). VLSI - MACHINE ARCHITECTURE AND VERY HIGH-LEVEL LANGUAGES. COMPUTER JOURNAL, 25 (1), 153-157.
TRELEAVEN, P.C. (1982). VLSI PROCESSOR ARCHITECTURES. COMPUTER, 15 (6), 33-45.
Treleaven, P.C. (1982). Towards a Decentralised General-Purpose Computer..
TRELEAVEN, P.C., BROWNBRIDGE, D.R., HOPKINS, R.P. (1982). DATA-DRIVEN AND DEMAND-DRIVEN COMPUTER ARCHITECTURE. COMPUTING SURVEYS, 14 (1), 93-143.
Treleaven, P.C., Hopkins, R.P. (1982). A recursive computer architecture for VLSI..
TRELEAVEN, P.C., HOPKINS, R.P., RAUTENBACH, P.W. (1982). COMBINING DATA FLOW AND CONTROL FLOW COMPUTING. COMPUTER JOURNAL, 25 (2), 207-217. doi:10.1093/comjnl/25.2.207
TRELEAVEN, P.C., LIMA, I.G. (1982). JAPANS 5TH-GENERATION COMPUTER-SYSTEMS. COMPUTER, 15 (8), 79-88.
TRELEAVEN, P.C., LIMA, I.G. (1982). 5TH GENERATION COMPUTERS. COMPUTER PHYSICS COMMUNICATIONS, 26 (3-4), 277-283. doi:10.1016/0010-4655(82)90117-5

1981

Crocker, D., Clack, C., Butcher, R.J. (1981). A 10 W single mode Pyrex waveguide CO2 laser. Journal of Physics E: Scientific Instruments, 14 (1), 121-122. doi:10.1088/0022-3735/14/1/029
Mohar, B., Pisanski, T., Shawe-Taylor, J. (1981). Edge-colouring of Composite Regular Graphs. Colloquia Mathematica Societatis J?nos Bolyai, 37 591-600.
Pisanski, T., Shawe-Taylor, J. (1981). Search for Minimal Trivalent Cycle Permutation Graphs with Girth Nine. Discrete Mathematics, 36 113-115.
Pisanski, T., Shawe-Taylor, J. (1981). Cycle Permutation Graphs with Large Girth. In Cambridge University Press.
Treleaven, P.C., Hopkins, R.P. (1981). Decentralized Computation..

1979

TRELEAVEN, P.C. (1979). EXPLOITING PROGRAM CONCURRENCY IN COMPUTING SYSTEMS. COMPUTER, 12 (1), 42-50.

1978

RANDELL, B., LEE, P.A., TRELEAVEN, P.C. (1978). RELIABILITY ISSUES IN COMPUTING SYSTEM-DESIGN. COMPUTING SURVEYS, 10 (2), 123-165.

1972

Foss, A., Shawe-Taylor, J., Whitworth, D. (1972). Search for a Trans-Plutonian Planet. Nature, 239 (5370),
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