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| Goodell, G., Aste, T. (2019). Can Cryptocurrencies Preserve Privacy and Comply with Regulations?. Frontiers in Blockchain, doi:10.3389/fbloc.2019.00004 |
| Goodell, G., Aste, T. (2019). A Decentralized Digital Identity Architecture.. Frontiers Blockchain, 2 17. doi:10.3389/fbloc.2019.00017 |
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| Catling, F., Spithourakis, G.P., Riedel, S. (2018). Towards automated clinical coding. International Journal of Medical Informatics, 120 50-61. doi:10.1016/j.ijmedinf.2018.09.021 |
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| Christensen, A.P., Kenett, Y.N., Aste, T., Silvia, P.J., Kwapil, T.R. (2018). Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches. Behavior Research Methods, 1-20. doi:10.3758/s13428-018-1032-9 |
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| Hunter, A. (2018). Invited talk: Computational persuasion with applications in behaviour change. |
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| Hunter, A., Hadoux, E., Corrégé, J.-.B. (2018). Strategic Dialogical Argumentation Using Multi-criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments. |
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| Lim, Y.S., Gorse, D. (2018). Reinforcement learning for high-frequency market making. |
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| Maurer, A., Pontil, M. (2018). Empirical bounds for functions with weak interactions. |
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| Nava, N., Di Matteo, T., Aste, T. (2018). Financial time series forecasting using empirical mode decomposition and support vector regression. Risks, 6 (1), doi:10.3390/risks6010007 |
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| 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. |
| Silver, D., Sutton, R., Müller, M. (2013). Temporal-difference search in Computer Go. |
| Singh, S., Riedel, S., Martin, B., Zheng, J., McCallum, A. (2013). Joint Inference of Entities, Relations, and Coreference. |
| Singh, S., Riedel, S., McCallum, A. (2013). Anytime Belief Propagation Using Sparse Domains. |
| Staines, J., Barber, D. (2013). Optimization by variational bounding. ESANN, |
| 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. |
| 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). Bayesian reasoning and machine learning. Cambridge University Press. |
| Barber, D. (2012). Noisy Pattern Search using Hidden Markov Models. |
| Barber, D. (2012). Clique matrices for statistical graph decomposition and parameterising restricted positive definite matrices. arXiv preprint arXiv:1206.3237, |
| 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., Barber, D. (2012). Bayesian Cointegration. |
| Bracegirdle, C., 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. |
| Calderbank, R., Donoho, D.L., Shawe-Taylor, J., Tanner, J. (2012). Dear information and inference reader. Information and Inference, 1 (1), doi:10.1093/imaiai/ias004 |
| Challis, E., Barber, D. (2012). Affine Independent 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, 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). An approximate newton method for markov decision processes. arXiv preprint arXiv:1204.1227, |
| Furmston, T., Barber, D. (2012). A unifying perspective of parametric policy search methods for Markov decision processes. |
| Furmston, T., Barber, D. (2012). A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes. |
| Furmston, T., Barber, D. (2012). Efficient Inference in Markov Control Problems. arXiv preprint arXiv: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 - supplementary. Ithaca, NY, USA: ArXiv. |
| 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.. |
| 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. |
| 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 |
| McClosky, D., Riedel, S., Surdeanu, M., McCallum, A., Manning, C.D. (2012). Combining joint models for biomedical event extraction.. BMC BIOINFORMATICS, 13 doi:10.1186/1471-2105-13-S11-S9 |
| 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 |
| Murino, V., Richiardi, J., Shawe-Taylor, J., Lee, S.W. (2012). Welcome message from the programme chairs. |
| 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, 85 (4), 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. arXiv preprint arXiv: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 (TOCT), 4 (4), 12-. |
| 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 |
| (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 |
| Argyriou, A., Micchelli, C.A., Pontil, M., Shen, L., Xu, Y. (2011). Efficient First Order Methods for Linear Composite Regularizers. Ithaca, NY, USA: ArXiv. |
| Barber, D. (2011). Approximate inference in switching linear dynamical systems using Gaussian mixtures. In Cambridge University Press. |
| Barber, D., Cemgil, A.T., Chiappa, S. (2011). Bayesian time series models. Cambridge University Press. |
| Barber, D., Cemgil, A.T., Chiappa, S. (2011). Inference and estimation in probabilistic time series models. In (pp. 1-). Cambridge University Press. |
| Barber, D., Laar, P.V.D. (2011). Variational Cumulant Expansions for Intractable Distributions.. CoRR, |
| Barber, D., Laar, P.V.D. (2011). Variational Cumulant Expansions for Intractable Distributions. CoRR, abs/1105.5455 |
| Bracegirdle, C., 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. |
| Cemgil, A.T., Chiappa, S., Barber, D. (2011). Bayesian Time Series Models: Adaptive Markov chain Monte Carlo: theory and methods Yves Atchade;, Gersende Fort, Eric Moulines and Pierre Priouret; 3. Auxiliary particle filtering: recent developments Nick Whiteley and Adam M. Johansen; 4. Monte Carlo probabilistic inference for diffusion processes: a methodological framework Omiros Papaspiliopoulos; Part II. Deterministic Approximations: 5. Two problems with variational expectation maximisation for time series models Richard Eric Turner and Maneesh Sahani; 6. Approximate inference for continuous-time Markov processes Ce; dric Archambeau and Manfred Opper; 7. Expectation propagation and generalised EP methods for inference in switching linear dynamical systems Onno Zoeter and Tom Heskes; 8. Approximate inference in switching linear dynamical systems using Gaussian mixtures David Barber; Part III. Change-Point Models: 9. Analysis of change-point models Idris A. Eckley, Paul Fearnhead and Rebecca Killick; Part IV. Multi-Object Models: 10. Approximate likelihood estimation of static parameters in multi-target models Sumeetpal S. Singh, Nick Whiteley and Simon J. Godsill; 11. Sequential inference for dynamically evolving groups of objects Sze Kim Pang, Simon J. Godsill, Jack Li, Fran�ois Septier and Simon Hill; 12. Non-commutative harmonic analysis in multi-object tracking Risi Kondor; 13. Physiological monitoring with factorial switching linear dynamical systems John A. Quinn and Christopher KI Williams; Part V. Non-Parametric Models: 14. Markov chain Monte Carlo algorithms for Gaussian processes Michalis K. Titsias, Magnus Rattray and Neil D. Lawrence; 15. Non-parametric hidden Markov models Jurgen Van Gael and Zoubin Ghahramani; 16. Bayesian Gaussian process models for multi-sensor time series prediction Michael A. Osborne, Alex Rogers, Stephen J. Roberts, Sarvapali D. Ramchurn and Nick R. Jennings; Part VI. Agent Based Models: 17. Optimal control theory and the linear Bellman equation Hilbert J. Kappen; 18. Expectation-maximisation methods for solving (PO) MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling; Index. |
| Challis, E., Barber, D. (2011). Concave Gaussian variational approximations for inference in large-scale Bayesian linear models. |
| Clack, C.D. (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. |
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| 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, 487-502. |
| Furmston, T., Barber, D. (2011). Efficient Inference in Markov Control Problems.. |
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| 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. |
| Herbster, M., Lever, G. (2009). Predicting the labelling of a graph via minimum $p$-seminorm interpolation. |
| 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. doi:10.2178/jsl/1245158086 |
| 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. |
| Mesot, B., Barber, D. (2009). A Simple Alternative Derivation of the Expectation Correction Algorithm. |
| Mesot, B., Barber, D. (2009). A simple alternative derivation of the expectation correction algorithm. IEEE Signal Processing Letters, 16 (2), 121-124. |
| 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.. |
| Odone, F., Pontil, M., Verri, A. (2009). Machine Learning Techniques for Biometrics. In Tistarelli, M., Li, S.Z., Chellappa, R. (Eds.), Handbook of Remote Biometrics: for Surveillance and Security. Cham, Switzerland: Springer. |
| 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 |
| Pozzi, F., Aste, T., Shaw, W., Di Matteo, T. (2009). The use of topological quantities to detect hierarchical properties in financial markets: the Financial sector in NYSE. |
| 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, 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. |
| 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, 77 (3), 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., 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. COMPLEX SYSTEMS II, 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, 77 (2), 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). Master�s level machine learning: public perceptions. |
| Barber, D. (2008). Learning from data 1: Naive Bayes. Online: http://axiom. anu. edu. au/~ daa/courses/GSAC6017/naivebayes. pdf, accessed on, 6 |
| Bartolozzi, M., Mellen, C., Chan, F., Oliver, D., Matteo, T.D., Aste, T. (2008). Applications of physical methods in high-frequency futures markets. COMPLEX SYSTEMS II, 6802 doi:10.1117/12.758431 |
| Besnard, P., Doutre, S., Hunter, A. (2008). Preface. . |
| 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. |
| Brede, M. (2008). Network characteristics that facilitate the stable evolution of cooperation - art. no. 68020R. |
| 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. InterJournal, paper #22. |
| Costea, C. (2008). Complexity: new opportunities for understanding consumption - art. no. 680219. |
| 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. COMPLEX SYSTEMS II, 6802 G8020. 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. |
| Enting, I.G. (2008). Lattice statistics studies of massless phases. |
| 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 |
| Liu, R., Aste, T., Di Matteo, T. (2008). Multi-scaling modelling in financial markets. COMPLEX SYSTEMS II, 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. |
| 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. doi:10.1142/S0219525908002021 |
| Riedel, S. (2008). Improving the Accuracy and Efficiency of MAP Inference for Markov Logic. |
| 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. |
| Roberts, A.J. (2008). Co-ordinate transforms underpin multiscale modelling and reduction in deterministic and stochastic systems. |
| 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. COMPLEX SYSTEMS II, 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 |
| Vladimirov, S.V. (2008). Self-organization in a complex plasma. |
| Wang, Z., Shawe-Taylor, J. (2008). Kernel Regression Framework for Machine Translation: UCL System Description for WMT 2008 Shared Translation Task. |
| Watkins, C. (2008). Selective Breeding Analysed as a Communication Channel. |
| 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-+. |
| (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 |
| Anikeenko, A.V., Medvedev, N.N., Di Matteo, T., Delaney, G.W., Aste, T. (2007). Delaunay simplex analysis of the structure of equal sized sphere packings. |
| 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 |
| Barber, D., Sollich, P. (2007). Stable Belief Propagation in Gaussian Dags. |
| 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 |
| Berthold, M.R., Shawe-Taylor, J., Lavrač, N. (2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. . |
| 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. |
| Chen, L., Barber, D., Odobez, J. (2007). Dynamical dirichlet mixture model. IDIAP. |
| Chiappa, D.B.S. (2007). Uni?ed Inference for Variational Bayesian Linear Gaussian State-Space Models. |
| Chiappa, S., Barber, D. (2007). Dirichlet mixtures of Bayesian linear Gaussian state-space models: a variational approach. Technical Report no. 161, |
| 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. Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on, 446-451. |
| Chiappa, S., Barber, D. (2007). Bayesian factorial linear Gaussian state-space models for biosignal decomposition. IEEE Signal Processing Letters, 14 (4), 267-270. |
| 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. |
| Delaney, G.W., Inagaki, S., Aste, T. (2007). Fine tuning DEM simulations to perform virtual experiments with three-dimensional granular packings. |
| 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.W., 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.. |
| 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/exl037 |
| 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. |
| 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). A Bayesian alternative to gain adaptation in autoregressive hidden Markov models. |
| Mesot, B., Barber, D. (2007). A Bayesian Switching Linear Dynamical System for Scale-Invariant robust speech extraction. IDIAP. |
| 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. |
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| 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. (2007). How to fit into your clothes: Busts, waists, hips and the UK National Sizing Survey. Significance, 4 (3), 113-117. doi:10.1111/j.1740-9713.2007.00243.x |
| 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. |
| (2006). Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers. |
| Agakov, F.V., Barber, D. (2006). Kernelized Infomax Clustering.. |
| Agakov, F.V., Barber, D. (2006). Auxiliary Variational Information Maximization for Dimensionality Reduction.. |
| 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. |
| Asari, V.K., Seow, M.J., Barber, D., Chiappa, S., Biehl, M., Ghosh, A., ...Calpe-Maravilla, J. (2006). Arenas-Garcia, J., see Gomez-Verdejo, V. 679. Neurocomputing, 69 983-985. |
| 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. COMPLEX SYSTEMS-BK 2, 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, doi:10.1088/1742-5468/2006/07/P07010 |
| Barber, D. (2006). Efficient Kalman Smoothing for Harmonic State-Space Models. |
| Barber, D. (2006). Expectation correction for smoothed inference in switching linear dynamical systems. Journal of Machine Learning Research, 7 (Nov), 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. IEEE Transactions on Audio, Speech, and Language Processing, 14 (2), 679-694. |
| Chiappa, S., Barber, D. (2006). EEG classification using generative independent component analysis. Neurocomputing, 69 (7), 769-777. |
| 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. |
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| Dhanjal, C., Gunn, S.R., Shawe-Taylor, J. (2006). Sparse feature extraction using generalised partial least squares. |
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| Di Matteo, T., Aste, T. (2006). Editorial. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 370 (1), XI-XIV. doi:10.1016/j.physa.2006.04.017 |
| Di Matteo, T., Aste, T. (2006). Extracting the correlation structure by means of planar embedding. COMPLEX SYSTEMS-BK 2, 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. |
| Grobelnik, M., Gunn, S., Saunders, C., Shawe-Taylor, J. (2006). Lecture Notes in Computer - Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. . |
| 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. |
| Hirsch, R. (2006). Frothcoming papers: Peirce algebras and Boolean modules. |
| 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. |
| Lehmann, A., Shawe-Taylor, J. (2006). A probabilistic model for text kernels. |
| Perrow, M., Barber, D. (2006). Tagging of name records for genealogical data browsing. |
| Perrow, M., Barber, D. (2006). Tagging of name records for genealogical data browsing.. |
| Pfister, J., Toyoizumi, 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. |
| 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., 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., Gunn, S., Grobelnik, M., Shawe-Taylor, J. (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. . |
| Sollich, P., Barber, D. (2006). Online Learning from Finite Training Sets and Robustness to Input Bias.. Online Learning, 10 (8), |
| 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. |
| (2005). Inconsistency Tolerance [result from a Dagstuhl seminar]. |
| Agakov, F., Barber, D. (2005). Nonlinear Encoder Models for Information-Theoretic Clustering. |
| 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), S2361-S2390. 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), 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. Noise and Fluctuations in Econophysics and Finance, 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, 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 |
| Barber, D. (2005). Expectation correction for smoothing in switching linear Gaussian state space models. Journal of Machine Learning Research, 7 2515-2540. |
| Barber, D. (2005). Expectation correction for an augmented class of switching linear Gaussian models. |
| Barber, D., Mesot, B. (2005). Construction and comparison of approximations for switching linear gaussian state space models. IDIAP. |
| Barber, D., Sollich, P. (2005). Stable Directed Belief Propagation in Gaussian DAGs using the auxiliary variable trick. IDIAP. |
| Bentley, K., Clack, C. (2005). Morphological Plasticity: Environmentally Driven Morphogenesis. Lecture Notes in Computer Science, 3630 118-127. doi:10.1007/11553090_13 |
| 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 Temporal ICA for Classification in Asynchronous BCI Systems. |
| 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. |
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| 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. |
| 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. |
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| Hunter, A., Liu, W. (2005). Measuring the quality of uncertain information using possibilistic logic. |
| 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 & 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.. |
| Perrow, M., Barber, D. (2005). Probabilistic Tagging of Unstructured Genealogical Records. IDIAP. |
| Pfister, J., Toyoizumi, T., Barber, D., Gerstner, W. (2005). Optimal spike-timing dependent plasticity for precise action potential firing. arXiv preprint q-bio/0502037, |
| 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.2004.07.010 |
| 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). Learning hierarchical multi-category text classification models. |
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| 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. |
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| 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 |
| (2004). Relative loss bounds for predicting almost as well as any function in a union of Gaussian reproducing kernel spaces with varying widths.. |
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| Agakov, F., Barber, D. (2004). Variational Information Maximization in Gaussian Channels. IDIAP. |
| Agakov, F., Barber, D. (2004). Variational Information Maximization and (K) PCA. Unknown, |
| 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. |
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| 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 |
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| Barber, D., Agakov, F.V. (2004). Information Maximization in Noisy Channels: A Variational Approach. |
| Barber, D., Heskes, T. (2004). An introduction to neural networks. Basov, NG (ed.), Encyclopedia of Life Support Systems, 1-23. |
| Bentley, K., Clack, C. (2004). The Artificial Cytoskeleton for Lifetime Adaptation of Morphology. |
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| 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. |
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| Hirsch, R. (2004). Dialectics and Logic.. Cultural Logic, 7 |
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| 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.. |
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| 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. |
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| Barber, D. (2003). Dynamic bayesian networks with deterministic latent tables. |
| Barber, D. (2003). Probabilistic modelling and reasoning: The junction tree algorithm. Course notes, 2004 |
| Barber, D. (2003). Probabilistic Modelling and Reasoning Dynamic Bayesian Networks: Discrete Hidden Variables. |
| Barber, D. (2003). Learning in spiking neural assemblies. |
| Barber, D., Agakov, F. (2003). The IM algorithm: a variational approach to information maximization. |
| Cemgil, A.T., Barber, D., Kappen, B. (2003). A Dynamical Bayesian Network for Tempo and Polyphonic Pitch Tracking. |
| Cemgil, A.T., Kappen, B., Barber, D. (2003). Generative model based polyphonic music transcription. |
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| Hardoon, D., Shawe-Taylor, J. (2003). Signal Extraction for Brain-Computer Interface. |
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| Pontil, M. (2003). An introduction to learning with reproducing kernel Hilbert spaces. |
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| 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. |
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| 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. |
| Agakov, F.V., Barber, D. (2002). Temporal hidden hopfield models. Institute for Adaptive and Neural Computation, |
| Andonova, S., Elisseeff, A., Evgeniou, T., Pontil, M. (2002). A simple algorithm for learning stable machines. |
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| Barber, D. (2002). Dynamic Bayesian Networks with Deterministic Latent Tables.. |
| Barber, D. (2002). Learning in Spiking Neural Assemblies.. |
| Barber, D., Agakov, F. (2002). Correlated sequence learning in a network of spiking neurons using maximum likelihood. Institute for Adaptive and Neural Computation, |
| Barber, D., Agakov, F. (2002). Spiking Sequence Learning using Maximum Likelihood: Hopfield Networks. |
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| Cristianini, N., Shawe-Taylor, J., Lodhi, H. (2002). Latent Semantic Kernels. Journal of Intelligent Information Systems, 18 (2-3), 127-152. |
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| Evgeniou, T., Pontil, M. (2002). Support Vector Machines with Clustering for Training with Very Large Datasets. |
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| Hirsch, R. (2002). Chapter 6 Other approaches to algebras of relations. In Studies in Logic and the Foundations of Mathematics. (pp. 199-212). . |
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| Hirsch, R., Hodkinson, I. (2002). Axiomatising pseudo-elementary classes. In Studies in Logic and the Foundations of Mathematics. (pp. 273-308). . |
| Hirsch, R., Hodkinson, I. (2002). Applying the rainbow construction. In Studies in Logic and the Foundations of Mathematics. (pp. 513-536). . |
| Hirsch, R., Hodkinson, I. (2002). Game trees. In Studies in Logic and the Foundations of Mathematics. (pp. 309-333). . |
| Hirsch, R., Hodkinson, I. (2002). Brief summary. In Studies in Logic and the Foundations of Mathematics. (pp. 609-623). . |
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| Hirsch, R., Hodkinson, I. (2002). Preliminaries. In Relation Algebras by Games. (pp. 25-98). Elsevier. |
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| 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 |
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| 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. |
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| Kandola, J., Shawe-Taylor, J., Cristianini, N. (2002). On the Extensions of Kernel Alignment. . |
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| Lodhi, H., Karakoulas, G., Shawe-Taylor, J. (2002). Boosting Strategy for Classification. Intelligent Data Analysis, 6 (2), 149-174. |
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| 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. |
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| 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. |
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| 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. |
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| 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. EPL (Europhysics Letters), 38 (6), 477-. |
| Sollich, P., Barber, D. (1997). Online Learning from Finite Training Sets: An Analytical Case Study.. |
| Tipping, M.E., Barber, D. (1997). Future Prospects are Uncertain. |
| Vekaria, K., Clack, C. (1997). Genetic Programming with Gene Dominance. |
| Yu, T., Clack, C. (1997). PolyGP: A Polymorphic Genetic Programming System in Haskell. |
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| Burge, P., Shawe-Taylor, J., Zerovnik, J. (1996). Graph Colouring by Maximal Evidence Edge Adding. In . |
| Clack, C.D., 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. |
| Gorse, D., Romano-Critchley, D.A., Taylor, J.G. (1996). Modular pRAM architecture for the classification of TESPAR-encoded speech signals. Neural Network World, 6 (3), 299-304. |
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| 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. doi:10.1098/rsta.1996.0091 |
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| 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. |
| 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. (1996). Recurrent network with stochastic weights. |
| Zhao, J., Shawe-Taylor, J., Daalen, M. (1996). Learning in Stochastic Bit Stream Neural Networks. Neural Networks, 9 (6), 991-998. |
| 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 |
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| 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. |
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| 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. |
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| Clarkson, T.G., Taylor, J.G., Gorse, D. (1995). Response to letter by K. Gurney.. |
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| Fowler, P.W., Pisanski, T., Shawe-Taylor, J. (1995). Molecular graph eigenvectors for molecular coordinates: System Demonstration. |
| 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. |
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| 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. |
| Wicks, T., Nigri, M., Treleaven, P. (1995). Efficient fuzzy logic architectures suitable for silicon compilation. |
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| 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 |
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| Anthony, M., Shawe-Taylor, J. (Eds.), (1994). First European Conference on Computational Learning Theory (EuroCOLT'93). Oxford University Press. |
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| 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. |
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| Feldman, K., Treleaven, P. (1994). Intelligent systems in finance. Applied Mathematical Finance, 1 (2), 195-207. doi:10.1080/13504869400000011 |
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| 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. |
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| 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. |
| 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. |
| 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.. |
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| 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. |
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| 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. |
| Khebbal, S., Treleaven, P. (1993). An object-oriented hybrid environment for integrating neural networks and experts systems. |
| 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. |
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| Rocha, P.V., Khebbal, S.K., Treleaven, P.C. (1993). A framework for hybrid intelligent systems. |
| 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.. |
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