Machine Learning and Biological Computation Group

MLBC Publications

This is a list of all publications (co-)authored by members, or ex-members of the MLBC group, or papers with keywords relevant to the group's research areas:

2008

John Chiverton, Majid Mirmehdi and Xianghua Xie. Variational Maximum A Posteriori Model Similarity and Dissimilarity Matching. In: International Conference on Pattern Recognition, IEEE, December 2008. External information on this paper. Acrobat:1232286 bytes.
Rafal Bogacz. Optimal decision making theories. In: Handbook of Reward and Decision Making, in press, Jean-Claude Dreher and Leon Tremblay, editors, November 2008. Acrobat:306468 bytes.
Richard B Sherley, Tilo Burghardt, Peter J Barham, Neill Campbell and Innes C Cuthill. Spotting the difference: towards autonomous population monitoring of African Penguins, Spheniscus demersus. In: Proceedings of the 12th Pan-African Ornithological Congress, University of Cape Town, Animal Demography Unit, November 2008.
Tim Kovacs. Artificial Intelligence through Search: Solving Sudoku Puzzles. Technical Report, Department of Computer Science, University of Bristol, October 2008.
Peter Trimmer, Alasdair Houston, James Marshall, Rafal Bogacz, Elizabeth Paul, Mike Mendl and John McNamara. Mammalian Choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems. Proceedings of the Royal Society B, volume 275(1649): 2353--2361, October 2008. External information on this paper. Acrobat:231152 bytes.
Emma Tonkin and Alla Zollers. Performance Tags- Who's running the show?. In: Sig-CR 2008, October 2008.
Jaume Bacardit, Ester Bernadó-Mansilla, Martin Butz, Tim Kovacs, Xavier Llorà and Keiki Takadama, editors. Learning Classifier Systems. 10th International Workshop ,volume 4998. Springer . October 2008. External information on this paper.
Steve Gregory. A fast algorithm to find overlapping communities in networks. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2008), pages 408--423. Springer, September 2008. Acrobat:156853 bytes.
Zeng, L., Park, C.H., Venu, R.C., Gough, J., Wang and G.. Classification, Expression Pattern, and E3 Ligase Activity Assay of Rice U-Box-Containing Proteins. Mol Plant, volume 1(5): 800--815, September 2008. Acrobat:842962 bytes.
Zacharias Androulidakis, Andrew Lulham, Rafal Bogacz and Malcolm W. Brown. Computational models can replicate the capacity of human recognition memory. Network: Computation in Neural System, volume 19: 161--182, September 2008.
Susanne Hoche, Peter Flach and David Hardcastle. A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples. In: Proceedings of the 18th European Conference on Artificial Intelligence, July 2008. Acrobat:142047 bytes.
Tilo Burghardt. Visual Animal Biometrics. PhD Thesis, University of Bristol, June 2008. External information on this paper. Acrobat:16988362 bytes.
Garrocho-Villegas, V., Bustos-Rivera, G., Gough, J., Vinogradov, S.N., Arredondo-Peter and R.. Expression and in silico structural analysis of a rice (Oryza sativa) hemoglobin 5. Plant Physiol. Biochem., volume xx: 1--5, May 2008. Acrobat:561090 bytes.
Oliver Ray and Chris Bryant. Inferring the function of genes from synthetic lethal mutations. In: 2nd International Conference on Complex, Intelligent and Software Intensive Systems (from 1st International Workshop on Intelligent Informatics in Biology and Medicine), pages 667--671. IEEE Computer Society, February 2008. Acrobat:75890 bytes.
Oliver Ray and Katsumi Inoue. Mode-Directed Inverse Entailment for Full Clausal Theories. In: 17th International Conference on Inductive Logic Programming, pages 225--238. Springer, February 2008. Acrobat:182072 bytes.
Yoshitaka Yamamoto, Oliver Ray and Katsumi Inoue. Towards a Logical Reconstruction of CF-Induction. In: New Frontiers in Artificial Intelligence: JSAI 2007 Conference and Workshop Revised Selected Papers (from 5th Workshop on Learning with Logics and Logics for Learning), pages 330--343. Springer, February 2008. Acrobat:401008 bytes.

2007

. Genome analysis CAFE: a computational tool for the study of gene family evolution. pages 1269--1271. December 2007. This paper is not public, contact the author or log in.
Kamran Shafi, Tim Kovacs, Hussein A. Abbass and Weiping Zhu. Intrusion Detection with Evolutionary Learning Classifier Systems. To appear in Natural Computing, volume ?(?): ?--?, December 2007. External information on this paper.
Nigel R Franks, James W Hooper, Mike Gumn, Tamsyn H Bridger, James Marshall, Roderich Gross and Anna Dornhaus. Moving targets: collective decision and flexible choices in house-hunting ants. Swarm Intelligence, December 2007.
Susanne Hoche, Andreas Nuernberger and Peter Flach. Network Analysis in Natural Sciences and Engineering. AI Communications, volume 20(4), December 2007.
Jiaxiang Zhang and Rafal Bogacz. Superior Colliculus and Basal Ganglia Control the Saccadic Response in Motion Discrimination Tasks. In: 1st International Conference on Cognitive Neurodynamics, pages 475--479. November 2007.
Robert Planqué, Francois-Xavier Dechaume-Moncharmont, Nigel R. Franks, Tim Kovacs and James Marshall. Why do house-hunting ants recruit in both directions?. Naturwissenschaften, volume 94(11): 911--918, November 2007. External information on this paper.
Tilo Burghardt and Anja Wasilewski. Conservational Prospects of Computer-aided Visual Bontebok Identification Using Biometrical Features. In: 6th International Zoo and Wildlife Research Conference on Behaviour, Physiology and Genetics, pages 248--250. October 2007.
Oliver Ray and Katsumi Inoue. A Consequence Finding Approach for Full Clausal Abduction. In: 10th International Conference on Discovery Science, pages 173--184. Springer, September 2007. Acrobat:156404 bytes.
Tilo Burghardt, Neill Campbell, Peter J Barham, Innes C Cuthill and Richard Sherley. A Fully Automated Computer Vision System for the Biometric Identification of African Penguins (Spheniscus demersus) on Robben Island. In: 6th International Penguin Conference (IPC07), University of Tasmania, Australia, September 2007.
Peter Flach and Edson Takashi Matsubara. A Simple Lexicographic Ranker and Probability Estimator. In: 18th European Conference on Machine Learning, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 575--582. Springer, September 2007. External information on this paper. Acrobat:293786 bytes.
Shaomin Wu, Peter Flach and Cesar Ferri. An Improved Model Selection Heuristic for AUC. In: 18th European Conference on Machine Learning, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 478--489. Springer, September 2007. External information on this paper. Acrobat:336009 bytes.
Steve Gregory. An algorithm to find overlapping community structure in networks. In: Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), pages 91--102. Springer-Verlag, September 2007. Acrobat:259615 bytes.
Elisa Ricci, Tijl De Bie and Nello Cristianini. Discriminative Sequence Labeling by Z-Score Optimization. In: ECML 2007, pages 274--285. Springer, September 2007. This paper is not public, contact the author or log in.
Peter A. Flach. Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (invited talk). In: 18th European Conference on Machine Learning and 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic and Andrzej Skowron, editors, pages 2--3. Springer, September 2007. External information on this paper. Acrobat:136795 bytes.
Rafal Bogacz, Marius Usher, Jiaxiang Zhang and James L. McClelland. Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philosophical Transactions of the Royal Society, Series B, volume 362: 1655--1670, August 2007. Acrobat:602755 bytes.
Elisa Ricci, Tijl De Bie and Nello Cristianini. Learning to Align: A Statistical Approach. In: IDA 2007, pages 25--36. Springer, August 2007. This paper is not public, contact the author or log in.
James Marshall, Gavin Brown and Tim Kovacs. Bayesian Estimation of Rule Accuracy in UCS. In: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation, pages 2831--2834. ACM Press, July 2007.
Dalal Alrajeh, Oliver Ray, Alessandra Russo and Sebastian Uchitel. Extracting Requirements from scenarios with ILP. In: 16th International Conference on Inductive Logic Programming, S.H. Muggleton, R. Otero and A Tamaddoni Nezhad, editors, pages 63--77. Springer, July 2007. Acrobat:439123 bytes.
Rafal Bogacz. Optimal decision network with distributed representation. Neural Networks, volume 20: 564--576, July 2007.
Tim Kovacs and Larry Bull. Toward a better understanding of rule initialization and deletion. In: Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pages 2777--2780. ACM, July 2007. External information on this paper.
Gavin Brown, Tim Kovacs and James Marshall. UCSpv: principled voting in UCS rule populations. In: Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pages 1774--1781. ACM, July 2007.
Dirk Thierens, Hans-Georg Beyer, Mauro Birattari, Josh Bongard, Jurgen Branke, John Andrew Clark, Dave Cliff, Clare Bates Congdon, Kalyanmoy Deb, Banjamin Doerr, Tim Kovacs and Sanjeev Kumar, editors. Proceedings of the 2007 Genetic and Evolutionary Compuation Conference (GECCO 2007) ,volume 1-2. ACM Press . July 2007.
Oliver Ray. Automated Abduction in Scientific Discovery. In: Model-Based Reasoning in Science and Medicine, pages 103--116. Springer, June 2007. Acrobat:259195 bytes.
Oliver Ray. Inferring process models from temporal data with abduction and induction. In: 1st International Workshop on the Induction of Process Models, June 2007. External information on this paper. Acrobat:95774 bytes.
Ian Anderson, Julie Maitland, Scott Sherwood, Louise Barkhuus, Matthew Chalmers, Malcolm Hall, Barry Brown and Henk Muller. Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones. Mobile Networks and Applications, volume 12(2-3): 185--199, June 2007.
Rafal Bogacz, Samuel M. McClure, Jian Li, Jonathan D. Cohen and P. Read Montague. Short-term memory traces for action bias in human reinforcement learning. Brain Research, volume 1153: 111--121, June 2007. Acrobat:673589 bytes.
Artur S. d'Avila Garcez, Dov M. Gabbay, Oliver Ray and John. H. Woods. Abductive reasoning in neural-symbolic systems. TOPOI, volume 26(1): 37--49, April 2007. Acrobat:381245 bytes.
Tim Kovacs, Xavier LLora, Keiki Takadama, Pier Luca Lanzi, Wolfgang Stolzmann and Stewart W. Wilson, editors. Learning Classifier Systems ,volume 4399. Springer . April 2007. External information on this paper.
Tilo Burghardt and Neill Campbell. Individual Animal Identification using Visual Biometrics on Deformable Coat Patterns. In: 5th International Conference on Computer Vision Systems (ICVS07), DOI:10.2390, March 2007. External information on this paper. Acrobat:2382401 bytes.
Rafal Bogacz. Optimal decision making theories: linking neurobiology with behaviour. Trends in Cognitive Sciences, volume 11(3): 118--125, March 2007. This paper is not public, contact the author or log in.
Rafal Bogacz and Kevin Gurney. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Computation, volume 19(2): 442--477, February 2007. Acrobat:266425 bytes.
Mulder N.J., Apweiler R., Attwood T.K., Bairoch A., Bateman A., Binns D., Bork P., Buillard V., Cerutti L., Copley R., Courcelle E., Das U., Daugherty L., Dibley M., Finn R., Fleischmann W., Gough J., Haft D., Hulo N., Hunter S., Kahn D., Kanapin A., Kejariwal A., Labarga A., Langendijk-Genevaux P.S., Lonsdale D., Lopez R., Letunic I., Madera M., Maslen J., McAnulla C., McDowell J., Mistry J., Mitchell A., Nikolskaya A.N., Orchard S., Orengo C., Petryszak R., Selengut J.D., Sigrist C.J., Thomas P.D., Valentin F., Wilson D., Wu C.H. and Yeats C.. New developments in the InterPro database. Nucl. Acids Res., volume 35: D224--D228, January 2007.
Wilson, D., Madera, M., Vogel, C., Chothia, C. and Gough J.. The SUPERFAMILY database in 2007: families and functions. Nucl. Acids Res., volume 35: 308--313, January 2007.
Nick Yeung, Rafal Bogacz, Clay B. Holroyd, Sander Nieuwenhuis and Jonathan D. Cohen. Theta phase-resetting and the error-related negativity. Psychophysiology, volume 44: 39--49, January 2007. Acrobat:431646 bytes.
Robert Planqué, Anna Dornhaus, Nigel R. Franks, Tim Kovacs and James Marshall. Weighting waiting in collective decision-making. Behavioral Ecology and Sociobiology, volume 61(3): 347--356, January 2007. External information on this paper.

2006

Julie Maitland, Scott Sherwood, Louise Barkhuus, Ian Anderson, Malcolm Hall, Barry Brown, Matthew Chalmers and Henk Muller. Increasing the Awareness of Daily Activity Levels with Pervasive Computing. In: 1st International Conference on Pervasive Computing Technologies for Healthcare 2006, IEEE, November 2006. This paper is not public, contact the author or log in.
Hsiou-Wen Hsueh and Kerstin Eder. Test Directive Generation for Functional Coverage Closure Using Inductive Logic Programming. In: IEEE International High Level Design Validation and Test Workshop (HLDVT) 2006, November 2006.
Ian Anderson and Henk Muller. Qualitative Positioning for Pervasive Environments. In: The Third International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2006), pages 10--18. October 2006. Acrobat:292053 bytes.
Peter A. Flach. Reinventing Machine Learning with ROC Analysis (invited talk). In: Proceedings of the 10th Ibero-American Conference on AI and the 18th Brazilian AI Symposium, pages 4--5. Springer, October 2006. External information on this paper.
Rafal Bogacz, Eric Brown, Jeffrey Moehlis, Phil Holmes and Jonathan D. Cohen. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced choice tasks. Psychological Review, volume 113(4): 700--765, October 2006. Acrobat:1666962 bytes.
Lisa Gralewski, Neill Campbell, Edward Morrison and Ian Penton-Voak. Analysis of Facial Dynamics using a Tensor Framework. Journal of Multimedia, volume 1(6): 10--21, September 2006. Acrobat:827958 bytes.
Susanne Hoche, Ingolf Geist, Lourdes Pena Castillo and Nadine Schulz. Databases, Knowledge Discovery, Information Retrieval, and Web Mining. In: CIGR Handbook of Agricultural Engineering Volume VI Information Technology, Axel Murnack (Ed.), volume VI, pages 168--184. International Commission of Agricultural Engineering (CIGR) , September 2006. External information on this paper.
Micheal Weir, Anthony Buck and Jon Lewis. POTBUG: A Mind's Eye Approch to Providing BUG-Like Guarantees for Adaptive Obstacle Navigation Using Dynamic Potential Fields. In: From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour, pages 239--250. Springer Verlag, September 2006. Acrobat:373338 bytes.
Susanne Hoche and Peter Flach. Predicting Topics of Scientific Papers from Co-Authorship Graphs: a Case Study. In: Proceedings ot the 2006 UK Workshop on Computational Intelligence (UKCI2006), pages 215--222. September 2006. Acrobat:434324 bytes.
Tilo Burghardt and Janko Calic. Real-time Face Detection and Tracking of Animals. In: IEEE 8th Seminar on Neural Network Applications in Electrical Engineering (NEUREL06), pages 27--32. September 2006. Acrobat:3996383 bytes.
Tim Kovacs, Xavier LLora and Keiki Takadama. The 9th International Workshop on Learning Classifier Systems (IWLCS-2006 Workshop Summary). SIGEVolution, volume 1(3): 31--33, September 2006. External information on this paper.
Peter Flach, Antonis Kakas and Oliver Ray. Abduction, induction, and the logic of scientific knowledge development. In: ECAI'06 workshop on Abduction and Induction in AI and Scientific Modelling, P.A. Flach, A.C. Kakas, L. Magnani and O. Ray, editors, pages 21--23. August 2006. External information on this paper. Acrobat:41464 bytes.
Oliver Ray, Athos Antoniades, Antonis Kakas and Ioannis Demetriades. Abductive Logic Programming in the Clinical Management of HIV/AIDS. In: 17th European Conference on Artificial Intelligence, G. Brewka, S.Coradeschi, A. Perini and P. Traverso, editors, pages 437--441. IOS Press, August 2006. Acrobat:78272 bytes.
Kerstin Eder, Peter Flach and Hsiou-Wen Hsueh. Towards Automating Simulation-Based Design Verification using ILP. In: 16th International Conference on Inductive Logic Programming, Stephen Muggleton, Ramon Otero and Alireza Tamaddoni-Nezhad, editors, pages 154--168. Springer, August 2006. External information on this paper. Acrobat:359664 bytes.
Oliver Ray and Artur Garcez. Towards the integration of abduction and induction in artificial neural networks. In: ECAI06 workshop on Neural-Symbolic Learning and Reasoning, A.Garcez, P. Hitzler and G. Tamburrini, editors, pages 41--46. August 2006. External information on this paper. Acrobat:217224 bytes.
Oliver Ray. Using abduction for induction of normal logic programs. In: ECAI'06 Workshop on Abduction and Induction in Artificial Intelligence and Scientific Modelling, P. Flach, A. Kakas, L. Magnani and O. Ray, editors, pages 28--31. August 2006. External information on this paper. Acrobat:83951 bytes.
James Marshall and Tim Kovacs. A Representational Ecology for Learning Classifier Systems. In: Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO 2006), pages 1529--1536. ACM, July 2006. This paper is not public, contact the author or log in.
Gough and J.. Genomic scale sub-family assignment of protein domains. Nucl. Acids Res., volume 34 (13): 3625--3633, July 2006.
Ian Anderson and Henk Muller. Practical Activity Recognition using GSM Data. Technical Report CSTR-06-016, Department of Computer Science, University of Bristol, July 2006. Acrobat:148487 bytes.
Tim Kovacs and Manfred Kerber. A study of structural and parametric learning in XCS. Evolutionary Computation, volume 14(1): 1--19, June 2006.
Peter Flach, Valentina Maraldi and Fabrizio Riguzzi. Algorithms for Efficiently and Effectively Using Background Knowledge in Tertius . In: ``Analisi Sperimentale e Benchmark di Algoritmi per l'Intelligenza Artificiale'' (Incontro del Gruppo di Lavoro Rappresentazione della Conoscenza e Ragionamento Automatico dell'Associazione Italiana per l'Intelligenza Artificiale), Marco Gavanelli and Tony Mancini, editors, June 2006. External information on this paper. Acrobat:102889 bytes.
Tilo Burghardt and Janko Calic. Analysing Animal Behaviour in Wildlife Videos Using Face Detection and Tracking. IEE Proceedings - Vision, Image, and Signal Processing, volume 153(3): 305--312, June 2006. Acrobat:1118489 bytes.
Oliver Ray and Antonis Kakas. ProLogICA: a practical system for Abductive Logic Programming. In: 11th International Workshop on Non-monotonic Reasoning, J. Dix and A. Hunter, editors, pages 304--312. May 2006. External information on this paper. Acrobat:125295 bytes.
Babu, M. M., Priya, M. L., Selvan, A. T., Madera, M., Gough, J., Sankaran and K.. A database of bacterial lipoproteins (DOLOP) with functional assignments to predicted lipoproteins. J Bacteriol., volume 188 (8): 2761--2773, April 2006.
Vinogradov, S. N., Hoogewijs, D., Bailly, X., Arredondo-Peter, R., Gough, J., Dewilde, S., Moens, L., Vanfleteren and J. R.. A phylogenomic profile of globins. BMC Evol Biol., volume 6: 31--31, April 2006.
Peter Flach and Antonis Kakas. Abduction, Induction, and the Logic of Scientific Knowledge Development. In: Goedel Centenary 2006, Kurt Goedel Society, April 2006. External information on this paper. Acrobat:103513 bytes.
Liu, J., Gough, J., Rost and B.. Distinguishing Protein-Coding from Non_coding RNAs through Support Vector Machines. PLoS Genetics, volume 2 (4): 29--29, April 2006.
Tamas Horvath, Susanne Hoche and Stefan Wrobel. Effective rule induction from labeled graphs. In: Association for Computing Machinery: Proceedings of the ACM Symposium on Applied Computing : SAC 2006, April 23-27, 2006, Dijon, France, pages 611--616. ACM Press, New York, NY, April 2006. External information on this paper.
Robert Planque, James Marshall, Tim Kovacs, Francois-Xavier Dechaume-Moncharmont, Nigel R. Franks and Ana Sendova-Franks. It takes two to tango: the role of late recruitment in collective decision making. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 207--207. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, April 2006. External information on this paper.
James Marshall, Anna Dornhaus, Nigel Franks and Tim Kovacs. Noise, cost and speed-accuracy trade-offs: decision making in a decentralized system. Journal of the Royal Society: Interface, volume 3(7): 243--254, April 2006. External information on this paper.
Susanne Hoche, Jane Memott, Nick Monk and Andreas Nuernberger. Proc. of the Symposium on Network Analysis in Natural Sciences and Engineering, part of Adaptation in Artificial and Biological Systems (AISB'06), 2006.. pages 1--111. April 2006. Acrobat:4012875 bytes.
James Marshall, Rafal Bogacz, Anna Dornhaus, Nigel R. Franks, Tim Kovacs and Robert Planque. Similar Models of Optimal Decision Making in Social Insect Colonies and in the Primate Brain. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 205--205. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, April 2006. External information on this paper.
Maeda, N., Kasukawa, T., Oyama, R., Gough, J., Frith, M., Engstrom, P. G., Lenhard, B., Aturaliya, R. N., Batalov, S., Beisel, K. W., Bult, C. J., Fletcher, C. F., Forrest, A. R., Furuno, M., Hill, D., Itoh, M., Kanamori-Katayama, M., Katayama, S., Katoh, M., Kawashima, T., Quackenbush, J., Ravasi, T., Ring, B. Z., Shibata, K., Sugiura, K., Takenaka, Y., Teasdale, R. D., Wells, C. A., Zhu, Y., Kai, C., Kawai, J., Hume, D. A., Carninci, P., Hayashizaki and Y.. Transcript Annotation in FANTOM3: Mouse Gene Catalog Based on Physical cDNAs. PLoS Geneteics, volume 2 (4): 62--62, April 2006.
James Marshall and Tim Kovacs. Alternative Representations for Artificial Immune Systems. In: Proceedings of AISB'06: Adaptation in Artificial and Biological Systems, pages 9--10. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour, March 2006.
Jiaxiang Zhang and Rafal Bogacz. Optimal decision making with realistic bounds on neuronal activity. In: Computational Neuroscience Conference, March 2006. External information on this paper.
Tim Kovacs and James Marshall, editors. Proceedings of AISB'06: Adaptation in Artificial and Biological Systems ,volume 1-3. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour . March 2006. External information on this paper.
Trevor Martin and Yun Shen. Improving Access to Multimedia Using Multi-source Hierarchical Meta-data. In: Adaptive Multimedia Retrieval: User, Context, and Feedback, volume LNCS3877, pages 266--278. Springer-Verlag, February 2006. External information on this paper.
Elias Gyftodimos. A Probabilistic Graphical Model Framework for Higher-Order Term-Based Representations. PhD Thesis, University of Bristol, January 2006. Acrobat:662467 bytes.
Colin Campbell. Identification of Prognostic Signtures in Breast Cancer Microarray Data using Bayesian Techniques. Journal of the Royal Society: Interface , January 2006. External information on this paper.

2005

Janko Calic, Neill Campbell, Stamatia Dasiopoulou and Yiannis Kompatsiaris. An Overview of Multimodal Video Representation for Semantic Analysis. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technologies (EWIMT 2005), IEE, December 2005. Acrobat:382689 bytes.
Oliver Ray. Hybrid Abductive Inductive Learning. PhD Thesis, Department of Computing, Imperial College London, December 2005. Acrobat:1202985 bytes.
Janko Calic, Neill Campbell, Stamatia Dasiopoulou and Yiannis Kompatsiaris. A Survey on Multimodal Video Representation for Semantic Retrieval. In: the Third International Conference on `Computer as a tool' (Eurocon 2005), IEEE, November 2005. Acrobat:97153 bytes.
Ian Anderson and Henk Muller. Towards Qualitative Positioning for Pervasive Environments. In: the Third International Conference on `Computer as a tool' (Eurocon 2005), IEEE, November 2005. Acrobat:140368 bytes.
Phil Holmes, Eric Shea-Brown, Jeff Moehlis, Rafal Bogacz, Juan Gao, Gary Aston-Jones, Eric Clayton, Janusz Rajkowski and Jonathan D. Cohen. Optimal decisions: From neural spikes, through stochastic differential equations, to behavior. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, volume 88(10): 2496--2503, October 2005. Acrobat:511587 bytes.
Oliver Ray. The need for Ancestor Resolution when answering queries in Horn clause logic. In: 21st International Conference on Logic Programming, M. Gabrielli and G. Gupta, editors, pages 410--411. Springer, October 2005. Acrobat:200732 bytes.
Walterio Mayol-Cuevas and David W. Murray. Wearable Hand Activity Recognition for Event Summarization. In: International Symposium on Wearable Computers, IEEE Computer Society, October 2005. Acrobat:576135 bytes.
Tilo Burghardt and Peter J Barham. Automated Visual Identification of Individual African Penguins. In: European EAZA Annual Conference 2005, pages 207--210. September 2005. External information on this paper.
Elias Gyftodimos and Peter A. Flach. Combining Bayesian Networks with Higher-Order Data Representations. In: Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA'06), pages 145--157. Springer-Verlag, September 2005. Acrobat:315955 bytes.
Ronaldo C. Prati and Peter A. Flach. ROCCER: an Algorithm for Rule Learning Based on ROC Analysis. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pages 823--828. IJCAI, August 2005. External information on this paper. Acrobat:176604 bytes.
Peter A. Flach and Shaomin Wu. Repairing concavities in ROC curves. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), pages 702--707. IJCAI, August 2005. External information on this paper. Acrobat:504852 bytes.
Vinogradov, S. N., Hoogewijs, D., Bailly, X., Arrendondo-Peter, R., Guertin, M., Gough, J., Dewilde, S., Moens, L., Vanfleteren and J. R.. Three globin lineages belonging to two structural classes in genomes from the three kingdoms of life. Proc Natl Acad Sci USA, volume 102 (32): 11385--11389, August 2005.
Jonathan Lawry, G. Fu and J. W. Hall. A Granular Semantics for Fuzzy Measures and its Applications to Climate Change Scenarios. In: 4th International Symposium on Imprecise Probabilities and Their Applications, July 2005.
Zengchang Qin and Jonathan Lawry. Hybrid Bayesian estimation trees based on label semantics. In: Eighth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pages 896--907. Springer , July 2005.
Zengchang Qin and Jonathan Lawry. Linguistic rule induction based on a random set semantics. In: World Congress of International Fuzzy Systems Association (IFSA-05), July 2005.
Simon Rawles and Peter Flach. Neighbourhoods of examples for detecting logical redundancy. In: Late-breaking Papers from the 15th International Conference on Inductive Logic Programming (ILP'2005), Stefan Kramer and Bernhard Pfaringher, editors, pages 47--52. Institut fuer Informatik, Technische Universitaet Muenchen, Technical Report TUM-I0510, July 2005. Acrobat:33973 bytes.
Zengchang Qin and Jonathan Lawry. Prediction trees using linguistic modelling. In: World Congress of International Fuzzy Systems Association (IFSA-05), July 2005.
Zengchang Qin and Jonathan Lawry. Decision Tree Learning with Fuzzy Labels. Information Sciences, volume 172: 91--129, June 2005.
Larry Bull and Tim Kovacs. Foundations of Learning Classifier Systems: An Introduction. In: Foundations of Learning Classifier Systems, volume 183, pages 1--17. Springer, June 2005.
J.M. Rossiter and T.H. Cao . Fril++and Its Applications. In: Advances in Fuzzy Object-Orientated Database: Modelling and Applications, Z. Ma , editor, pages 113--151. Idea Group Inc, June 2005.
Peter Spellward and Tim Kovacs. On the contribution of gene libraries to artificial immune systems. In: Proceedings of the Genetic and Evolutionary Computation Conference, pages 313--319. ACM, June 2005.
Eric Brown, Juan Gao, Philip Holmes, Rafal Bogacz, Mark Gilzenrat and Jonathan D. Cohen. Simple neural networks that optimize decisions. International Journal of Bifurcation and Chaos, volume 15(3): 803--826, June 2005. Acrobat:619312 bytes.
Kerstin Eder and Hsiou-Wen Hsueh. Towards Inducing Stimulus Generation Directives from Functional Coverage Data. Technical Report CSTR-05-004, University of Bristol, June 2005.
Steve Cayzer, Jim Smith, James Marshall and Tim Kovacs. What have gene libraries done for AIS?. In: ICARIS 2005: Proceedings of the Fourth International Conference on Artificial Immune Systems, pages 86--99. Springer Verlag, June 2005.
Larry Bull and Tim Kovacs, editors. Foundations of Learning Classifier Systems ,volume 183. Springer . June 2005.
Susanne Hoche. Active Relational Rule Learning in a Constrained Confidence-Rated Boosting Framework . Tectum . June 2005. External information on this paper.
C.J. Burgess and M. Lefley. Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation. In: Machine Learning Applications In Software Engineering: Series on Software Engineering and Knowledge Engineering, Du Zhang and Jeffrey J.P. Tsai, editors, volume 16, pages 95--105. World Scientific Publishing Co., May 2005.
Gough and J.. Convergent evolution of domain architectures (is rare). Bioinformatics, volume 21 (8): 1464--1471, April 2005.
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., Kodzius, R., Shimokawa, K., Bajic, V. B., Brenner, S. E., Batalov, S., Forrest, A. R., Zavolan, M., Davis, M. J., Wilming, L. G., Aidinis, V., Allen, J. E., Ambesi-Impiombato, A., Apweiler, R., Aturaliya, R. N., Bailey, T. L., Bansal, M., Baxter, L., Beisel, K. W., Bersano, T., Bono, H., Chalk, A. M., Chiu, K. P., Choudhary, V., Christoffels, A., Clutterbuck, D. R., Crowe, M. L., Dalla, E., Dalrymple, B. P., de, Bono, B., Della, Gatta, G., di, Bernardo, D., Down, T., Engstrom, P., Fagiolini, M., Faulkner, G., Fletcher, C. F., Fukushima, T., Furuno, M., Futaki, S., Gariboldi, M., Georgii-Hemming, P., Gingeras, T. R., Gojobori, T., Green, R. E., Gustincich, S., Harbers, M., Hayashi, Y., Hensch, T. K., Hirokawa, N., Hill, D., Huminiecki, L., Iacono, M., Ikeo, K., Iwama, A., Ishikawa, T., Jakt, M., Kanapin, A., Katoh, M., Kawasawa, Y., Kelso, J., Kitamura, H., Kitano, H., Kollias, G., Krishnan, S. P., Kruger, A., Kummerfeld, S. K., Kurochkin, I. V., Lareau, L. F., Lazarevic, D., Lipovich, L., Liu, J., Liuni, S., McWilliam, S., Madan, Babu, M., Madera, M., Marchionni, L., Matsuda, H., Matsuzawa, S., Miki, H., Mignone, F., Miyake, S., Morris, K., Mottagui-Tabar, S., Mulder, N., Nakano, N., Nakauchi, H., Ng, P., Nilsson, R., Nishiguchi, S., Nishikawa, S., Nori, F., Ohara, O., Okazaki, Y., Orlando, V., Pang, K. C., Pavan, W. J., Pavesi, G., Pesole, G., Petrovsky, N., Piazza, S., Reed, J., Reid, J. F., Ring, B. Z., Ringwald, M., Rost, B., Ruan, Y., Salzberg, S. L., Sandelin, A., Schneider and C. and. The Transcriptional Landscape of the Mammalian Genome. Science, volume 309 (5740): 1559--1563, April 2005.
Janko Calic, Neill Campbell, Andrew Calway, Majid Mirmehdi, Tilo Burghardt, Sion Hannuna, Changming Kong, Sarah Porter, Nishan Canagarajah and David Bull. Towards Intelligent Content Based Retrieval of Wildlife Videos. In: Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005), April 2005. Acrobat:283913 bytes.
Tom Fawcett and Peter A. Flach. A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Machine Learning, volume 58(1): 33--38, January 2005. Acrobat:66832 bytes.
Elias Gyftodimos and Peter A. Flach. Combining Bayesian Networks with Higher-Order Data Representations. In: Probabilistic, Logical and Relationial Learning - Towards a Synthesis, Dagstuhl Seminar Proceedings 05051: , January 2005. External information on this paper. Acrobat:126365 bytes.
. Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. In: Pacific Symposium on Biocomputing, January 2005. This paper is not public, contact the author or log in.
Mulder, N. J., Apweiler, R., Attwood, T. K., Bairoch, A., Bateman, A., Binns, D., Bradley, P., Bork, P., Bucher, P., Cerutti, L., Copley, R., Courcelle, E., Das, U., Durbin, R., Fleischmann, W., Gough, J., Haft, D., Harte, N., Hulo, N., Kahn, D., Kanapin, A., Krestyaninova, M., Lonsdale, D., Lopez, R., Letunic, I., Madera, M., Maslen, J., McDowall, J., Mitchell, A., Nikolskaya, A. N., Orchard, S., Pagni, M., Ponting, C. P., Quevillon, E., Selengut, J., Sigrist, C. J., Silventoinen, V., Studholme, D. J., Vaughan, R., Wu and C. H.. InterPro, progress and status in 2005. Nucl. Acids Res., volume 33: --201, January 2005.
Dongping Song, Jie Zhang, Jonathan Carter, Tony Field, James Marshall, John Polak, Kimberly Schumacher and John Woods. On cost-efficiency of the global container shipping network. Maritime Policy and Management, volume 32(1): 1--16, January 2005. External information on this paper.
Johannes Fuernkranz and Peter A. Flach. ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms. Machine Learning, volume 58(1): 39--77, January 2005. Acrobat:426899 bytes.

2004

Susanne Hoche. Active Relational Rule Learning in a Constrained Confidence-Rated Boosting Framework. PhD Thesis, Rheinische Friedrich-Wilhelms-Universitaet Bonn, Germany, December 2004. Acrobat:1279434 bytes.
Thomas Gaertner, John W. Lloyd and Peter A. Flach. Kernels and Distances for Structured Data. Machine Learning, volume 57(3): 205--232, December 2004. Acrobat:240874 bytes.
Peter A. Flach and Nicolas Lachiche. Naive Bayesian Classification of Structured Data. Machine Learning, volume 57(3): 233--269, December 2004. Acrobat:271493 bytes.
Rafal Bogacz and Jonathan D. Cohen. Parameterization of connectionist models. Behavior Research Methods, Instruments, & Computers, volume 36(4): 732--741, December 2004. Acrobat:269121 bytes.
Nick Yeung, Rafal Bogacz, Clay B. Holroyd and Jonathan D. Cohen. Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods. Psychophysiology, volume 41: 822--832, November 2004. Acrobat:1109020 bytes.
Oliver Ray, Krysia Broda and Alessandra Russo. Generalised Kernel Sets for Inverse Entailment. In: 20th International Conference on Logic Programming, Bart Demoen and Vladimir Lifschitz, editors, pages 165--179. Springer, November 2004. Acrobat:266400 bytes.
Nada Lavrac, Bojan Cestnik, Dragan Gamberger and Peter Flach. Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Machine Learning, volume 57(1-2): 115--143, October 2004. External information on this paper. Acrobat:166964 bytes.
Tilo Burghardt, Janko Calic and Barry Thomas. Tracking Animals in Wildlife Videos Using Face Detection. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, October 2004. Acrobat:1398348 bytes.
Oliver Ray, Krysia Broda and Alessandra Russo. A Hybrid Abductive Inductive Proof Procedure. Logic Journal of the IGPL, volume 12(5): 371--397, September 2004. Acrobat:358437 bytes.
Johannes Fuernkranz and Peter Flach. An Analysis of Stopping and Filtering Criteria for Rule Learning. In: Proceedings of the 15th European Conference on Machine Learning, pages 123--133. Springer-Verlag, September 2004. Acrobat:398394 bytes.
Tilo Burghardt, Barry Thomas, Peter J Barham and Janko Calic. Automated Visual Recognition of Individual African Penguins. In: Fifth International Penguin Conference, Ushuaia, Tierra del Fuego, Argentina, September 2004. Acrobat:3997562 bytes.
Gough and J.. Computational Genomics: Theory and Application. Grant and R., editors, pages 105--124. Horizon scientific press, September 2004.
Zengchang Qin and Tim Kovacs. Evolution of realistic hybrid auctions. In: Proceedings of the 2004 UK Workshop on Computational Intelligence (UKCI-04), pages 43--50. September 2004.
Jonathan Lawry, Dawei Han and Ian Cluckie. Fuzzy Rule Generation in Hydrological Modelling. In: Soft Methodology and Random Information Systems, pages 741--748. Springer, September 2004.
Zengchang Qin and Jonathan Lawry. ROC Analysis of a Linguistic Decision Tree Merging Algorithm. In: 2004 UK Computational Intelligence, pages 33--42. September 2004.
James Marshall and Simon Tokumine. See how she runs: towards visualising artificial red queen evolution. In: Artificial Life IX: Proceedings of the Ninth International Conference on Artificial Life, pages 334--339. MIT Press, September 2004.
Miguel Lopez-Diaz, Maria A Gil, Przemyslaw Grzegorzewski, Olgierd Hyrniewicz and Jonathan Lawry, editors. Soft Methodology and Random Information Systems . Springer . September 2004.
Zengchang Qin and Jonathan Lawry. A Tree-Structured Classification Model Based on Label Semantic. In: Information Processing and Management of Uncertainty (IPMU 04), July 2004.
Cesar Ferri, Peter Flach and Jose Hernandez-Orallo. Delegating Classifiers. In: Proceedings of the 21st International Conference on Machine Learning (ICML 2004), Russ Greineer and Dale Schuurmans, editors, ACM, July 2004. Acrobat:978143 bytes.
Jim W Hall and Jonathan Lawry. Generation, combination and extension of random set approximations to coherent lower and upper probabilities. Reliability Engineering and Systems Safety , volume 85(1-3): 89--101, July 2004.
Tim Kovacs and Manfred Kerber. High classification accuracy does not imply effective genetic search. In: Proceedings of the 2004 Genetic and Evolutionary Computation Conference (GECCO), LNCS Vol. 3102, pages 785--796. Springer, July 2004. Acrobat:370989 bytes.
Annalisa Appice, Michelangelo Ceci, Simon Rawles and Peter Flach. Redundant feature elimination for multi-class problems. In: Proceedings of the 21st International Conference on Machine Learning (ICML 2004), Russ Greiner and Dale Schuurmans, editors, pages 33--40. ACM, July 2004. Acrobat:1080868 bytes.
Nick Randon, Jonathan Lawry, Dawei Han and Ian Cluckie. River Flow Modelling Based on Fuzzy Labels. In: Information Processing and Management of Uncertainty (IPMU 04), July 2004.
J.M. Rossiter. The Rapid Elicitation of Knowledge About Images using Fuzzy Information Granules. In: Proceedings of the IEEE International Conference on Fuzzy sytems, Fuzz IEEE 2004, July 2004.
J. Lawry. A Framework for Linguistic Modelling. Artificial Intelligence, volume 155: 1--39, June 2004.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. Induction and Fusion of Fuzzy Prototypes. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 12, No. 4 (2004) 409-446, volume 12(4): 409--446, June 2004.
Gough, J., Chothia and C.. The linked conservation of structure and function in a family of high diversity: the monomeric cupredoxins. Structure, volume 12: 917--925, June 2004.
Robert Perrons, James Marshall, Mike Stockman and Ken Platts. Assessing the value of trust in make-buy decisions for new technologies: an agent-based approach. In: Proceedings of the Fifth Workshop on Agent-Based Simulation, pages 62--66. SCS Europe BVBA, May 2004.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data.. In: Proceedings of Methods and Applications of Artificial Intelligence, Third Hellenic Conference on AI (SETN 2004), George A. Vouros and Themis Panayiotopoulos, editors, pages 291--300. Springer, May 2004. External information on this paper. Acrobat:226403 bytes.
Imran Ghory. Reinforcement Learning in Board Games. Technical Report CSTR-04-004, Department of Computer Science, University of Bristol, May 2004. Acrobat:1097439 bytes.
Tim Kovacs. Bibliography of Real-World Classifier Systems Applications. In: Applications of Learning Classifier Systems, volume 150, pages 300--305. Springer, April 2004. Acrobat:120629 bytes.
Tim Kovacs. Rule Fitness and Pathology in Learning Classifier Systems. Evolutionary Computation , volume 12(1): 99--135, March 2004. Acrobat:241540 bytes.
Nada Lavrac, Branko Kavsek, Peter Flach and Ljupco Todorovski. Subgroup discovery with CN2-SD. Journal of Machine Learning Research, volume 5(Feb): 153--188, February 2004. External information on this paper. Acrobat:374245 bytes.
Vogel, C., Berzuini, C., Bashton, M., Gough, J., Teichmann and S. A.. Supra-domains: Evolutionary units larger than single protein domains. J. Mol. Biol., volume 336: 809--823, February 2004.
Martin Butz, Tim Kovacs, Pier Luca Lanzi and Stewart W. Wilson. Toward a Theory of Generalization and Learning in XCS. IEEE Transactions on Evolutionary Computation, volume 8(1): 28--46, February 2004.
Lanckriet GRG, Deng M, Nello Cristianini, Jordan MI and Noble WS. Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. In: Biocomputing 2004, Proceedings of the Pacific Symposium, Hawaii, USA, pages 300--311. World Scientific , January 2004. This paper is not public, contact the author or log in.
Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan and Bernhard Scholkopf. Learning the Kernel Matrix with Semideflnite Programming. Journal of Machine Learning Research, volume 5: 27--72, January 2004. This paper is not public, contact the author or log in.
James Marshall. Review of "The Structure of Evolutionary Theory" by S. J. Gould. Artificial Life, volume 10(1): 113--115, January 2004.
Madera, M., Vogel, C., Kummerfeld, S.K., Chothia, C., Gough and J.. The SUPERFAMILY database in 2004: additions and improvements. Nucleic Acids Res., volume 32 (10): 235--239, January 2004.
Tim Kovacs. Strength or Accuracy: Credit Assignment in Learning Classifier Systems . Springer-Verlag . January 2004.

2003

T. H. Cao and J. M. Rossiter. A Deductive Probabilistic and Fuzzy Object-Oriented Database Language. Fuzzy Sets and Systems, volume 140(1): 129--150, November 2003.
Susanne Hoche and Stefan Wrobel. A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. In: Proceedings of the 13th International Conference on Inductive Logic Programming, LNCS 2835, pages 180--196. Springer, October 2003. Acrobat:235770 bytes.
Mark-A. Krogel, Simon Rawles, Filip Zelezn�, Peter Flach, Nada Lavrač and Stefan Wrobel. Comparative evaluation of approaches to propositionalization. In: Proceedings of the 13th International Conference on Inductive Logic Programming (ILP'2003), Tamas Horvath and Akihiro Yamamoto, editors, pages 194--217. Springer-Verlag Heidelberg, October 2003. Acrobat:174227 bytes.
Gherardi, E., Youles, M. E., Miguel, R. N., Blundell, T. L., Iamele, L., Gough, J., Bandyopadhyay, A., Hartmann, G., Butler and P. J.. Functional map and domain structure of MET, the product of the c-met protooncogene and receptor for hepatocyte growth factor/scatter factor. Proc. Natl. Acad. Sci. U.S.A., volume 100 (21): 12039--12044, October 2003.
Oliver Ray, Krysia Broda and Alessandra Russo. Hybrid Abductive Inductive Learning: A Generalisation of Progol. In: 13th International Conference on Inductive Logic Programming, T. Horvath and A. Yamamoto, editors, pages 311--328. Springer, October 2003. Acrobat:283017 bytes.
Nick Randon and Jonathan Lawry. A New Linguistic Prediction Method Based on Random Set Semantics. In: 2003 UK Workshop on Computational Intelligence, pages 81--88. September 2003.
Jonathan Lawry and Jordi Recasens. A Random Set Model for Fuzzy Labels. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Springer, September 2003.
Alexandre Temporel and Tim Kovacs. A heuristic hill climbing algorithm for mastermind. In: Proceedings of the 2003 UK Workshop on Computational Intelligence (UKCI-03), pages 189--196. University of Bristol, September 2003. Acrobat:111058 bytes.
Susanne Hoche, Tamas Horvath and Stefan Wrobel. Effective Rule Induction from Molecular Structures Represented by Labeled Graphs. In: Proceedings of the 1st International Workshop on Mining Graphs, Trees and Sequences (MGTS-2003), Cavtat-Dubrovnik, Croatia, September 2003. Acrobat:114419 bytes.
Tijl De Bie, Michinari Momma and Nello Cristianini. Efficiently Learning the Metric with Side-Information. In: ALT 2003, pages 175--189. Springer, September 2003. This paper is not public, contact the author or log in.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: an Approach to Classification and Learning for Structured Data. In: Proceedings of the ECML/PKDD - 2003 Workshop on Probablistic Graphical Models for Classification, pages 25--36. Ruder Boskovic Institute, Zagreb, Croatia, September 2003. Acrobat:74343 bytes.
Cesar Ferri, Peter A. Flach and Jose Hernandez-Orallo. Improving the AUC of Probabilistic Estimation Trees. In: Proceedings of the 14th European Conference on Machine Learning, pages 121--132. Springer-Verlag, September 2003. Acrobat:261350 bytes.
Elias Gyftodimos and Peter Flach. Learning Hierarchical Bayesian Networks for Human Skill Modelling. In: Proceedings of the 2003 UK Workshop on Computational Intalligence (UKCI-2003), Jonathan Rossiter and Trevor Martin, editors, pages 55--62. University of Bristol, September 2003. Acrobat:80211 bytes.
Zengchang Qin and Jonathan Lawry. Lingusitic Decision Tree Induction. In: 2003 UK Workshop on Computational Intelligence, pages 268--271. September 2003.
James Marshall and Jonathan Rowe. Viscous populations and their support for reciprocal cooperation. Artificial Life, volume 9(3): 327--334, September 2003.
Susanne Hoche and Stefan Wrobel. Towards feature selection for disk-based multirelational learners: a case study with a boosting algorithm.. In: Proceedings of the 2nd Workshop on Multi-Relational Data Mining (MRDM-2003), Washington, DC, USA, 2003, August 2003. Acrobat:165926 bytes.
Thomas Gaertner, Peter Flach and Stefan Wrobel. On Graph Kernels: Hardness Results and Efficient Alternatives. In: Proceedings of the 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, pages 129--143. Springer-Verlag, August 2003. Acrobat:199998 bytes.
P.A. Flach and S. Wu. Repairing concavities in ROC curves. In: Proc. 2003 UK Workshop on Computational Intelligence, pages 38--44. University of Bristol, August 2003. Acrobat:315780 bytes.
James A. R. Marshall, Tim Kovacs, Anna R. Dornhaus and Nigel R. Franks. Simulating the evolution of ant behaviour in evaluating nest sites. In: Advances in Artificial Life - Proceedings of the 7th European Conference on Artificial Life (ECAL), pages 643--650. Springer-Verlag, August 2003.
Oliver Ray. HAIL: Hybrid Abductive Inductive Learning. Technical Report, Department of Computing, Imperial College London, July 2003. Acrobat:1199613 bytes.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. A Hierarchical Linguistic Clustering Algorithm for Prototype Induction. In: Intelligent Systems for Information Processing, pages 303--314. Elsevier, June 2003.
Kasukawa, T., Furuno, M., Nikaido, I., Bono, H., Hume, D. A., Bult, C., Hill, D. P., Baldarelli, R., Gough, J., Kanapin, A., Matsuda, H., Schriml, L. M., Hayashizaki, Y., Okazaki, Y., Quackenbush and J.. Development and Evaluation of an Automated Annotation Pipeline and cDNA Annotation System. Genome Res., volume 13: 1542--1551, June 2003.
Chothia, C., Gough, J., Vogel, C., Teichmann and S. A.. Evolution of the protein repertoire. Science, volume 300 (5626): 1701--1703, June 2003.
Jim W Hall and Jonathan Lawry. Fuzzy Label Methods for Constructing Imprecise Limit State Functions. Structural Safety, volume 28: 317--341, June 2003.
Kanapin, A., Batalov, S., Davis, M. J., Gough, J., Grimmond, S., Kawaji, H., Magrane, M., Matsuda, H., Schonbach, C., Teasdale, R. D., Yuan and Z.. Mouse Proteome Analysis. Genome Res., volume 13: 1335--1344, June 2003.
Jonathan Lawry. Normalizing possibility distributions using t-norms. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 11(3): 343--360, June 2003.
James Marshall. On the suitability of the 2 x 2 games for studying reciprocal cooperation and kin selection. Technical Report CSTR-05-006, University of Bristol, June 2003. External information on this paper.
Nick Randon and Jonathan Lawry. Probabilistic and Fuzzy methods for Information Fusion in Data Mining. Internation Journal of Intelligent Systems, volume 18: 609--631, June 2003.
Jonathan Lawry, Jimi Shanahan and Anca Ralescu, editors. Modelling with Words ,volume 2873. Springer . June 2003.
Proshun Sinha-Ray, Jonathan Carter, Tony Field, James Marshall, John Polak, Kimberly Schumacher, Dongping Song, John Woods and Jie Zhang. Container World: global agent-based modelling of the container transport business. In: Proceedings of the Fourth Workshop on Agent-Based Simulation, pages 161--165. SCS Europe BVBA, May 2003.
Rafal Bogacz and Malcolm W. Brown. Comparison of computational models of familiarity discrimination in the perirhinal cortex. Hippocampus, volume 13: 494--524, March 2003. Acrobat:626372 bytes.
James Marshall and Jonathan Rowe. Kin selection may inhibit the evolution of reciprocation. Journal of Theoretical Biology, volume 222(3): 331--335, March 2003.
Johannes Furnkranz and Peter Flach. An Analysis of Rule Learning Heuristics. Technical Report CSTR-03-002, Department of Computer Science, University of Bristol, February 2003. Acrobat:181528 bytes.
Ian Wright and James Marshall. The execution kernel of RC++: RETE*, a faster RETE with TREAT as a special case. International Journal of Intelligent Games and Simulation, volume 2(1): 36--48, February 2003. Acrobat:201917 bytes.
Tim Kovacs and Stuart I. Reynolds. A Proposal for Population-Based Reinforcement Learning. Technical Report CSTR-03-001, Department of Computer Science, University of Bristol, January 2003. Acrobat:188328 bytes.
J. Furnkranz and P.A. Flach. An analysis of rule evaluation metrics. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 202--209. AAAI Press, January 2003. External information on this paper. Acrobat:155787 bytes.
P.A. Flach, H. Blockeel, C. Ferri, J. Hernandez-Orallo and J. Struyf. Decision support for data mining: introduction to ROC analysis and its application. In: Data Mining and Decision Support: Aspects of Integration and Collaboration, pages 81--90. Kluwer Academic Publishers, January 2003. External information on this paper. Acrobat:106356 bytes.
J. M. Rossiter. Humanist Computing: Modelling with Words, Concepts, and Behaviours. Lecture Notes in Computer Science, volume 2873: 124--152, January 2003.
N. Lachiche and P.A. Flach. Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 416--423. AAAI Press, January 2003. External information on this paper. Acrobat:109448 bytes.
P.A. Flach, D. Mladenic, S. Moyle, S. Raeymaekers, J. Rauch, S. Rawles, R. Ribeiro, G. Sclep, J. Struyf, L. Todorovski, L. Torgo, H. Blockeel, D. Wettschereck, S. Wu, T. Gartner, M. Grobelnik, B. Kavsek, M. Kejkula, D. Krzywania, N. Lavrac and P. Ljubic. On the road to knowledge: mining 21 years of UK traffic accident reports. In: Data Mining and Decision Support: Aspects of Integration and Collaboration, pages 143--155. Kluwer Academic Publishers, January 2003. External information on this paper.
James Marshall. Review of "Conflicting Agents: Conflict Management in Multi-Agent Systems" by C. Tessier, L. Chaudron and H. J. Muller (eds.). Journal of Artificial Societies and Social Simulation, volume 8(4), January 2003.
P.A. Flach and N. Lavrac. Rule Induction. In: Intelligent Data Analysis: An Introduction, pages 229--267. Springer-Verlag, January 2003.
Tim Kovacs and Pier Luca Lanzi. The 2003 Learning Classifier Systems Bibliography. In: Learning Classifier Systems, volume LNCS 2661, pages 187--230. Springer, January 2003.
P.A. Flach. The geometry of ROC space: understanding machine learning metrics through ROC isometrics. In: Proc. 20th International Conference on Machine Learning (ICML'03), pages 194--201. AAAI Press, January 2003. External information on this paper. Acrobat:1079523 bytes.
Tim Kovacs. XCS's Strength-Based Twin. Part I. In: Learning Classifier Systems, volume LNCS 2661, pages 61--80. Springer, January 2003. Acrobat:485096 bytes.
Tim Kovacs. XCS's Strength-Based Twin. Part II. In: Learning Classifier Systems, volume LNCS 2661, pages 81--98. Springer, January 2003. Acrobat:382438 bytes.

2002

Nada Lavrac, Peter Flach, Brank Kavsek and Ljupco Todorovski. Adapting classification rule induction to subgroup discovery. In: Proceedings of the 2002 IEEE International Conference on Data Mining, V. Kumar et al. , editor, pages 266--273. IEEE Computer Society, December 2002.
Okazaki, Y., Furuno, M., Kasukawa, T., Adachi, J., Bono, H., Kondo, S., Nikaido, I., Osato, N., Saito, R., Suzuki, H., Yamanaka, I., Kiyosawa, H., Yagi, K., Tomaru, Y., Hasegawa, Y., Nogami, A., Schonbach, C., Gojobori, T., Baldarelli, R., Hill, D. P., Bult, C., Hume, D. A., Quackenbush, J., Schriml, L. M., Kanapin, A., Matsuda, H., Batalov, S., Beisel, K. W., Blake, J. A., Bradt, D., Brusic, V., Chothia, C., Corbani, L. E., Cousins, S., Dalla, E., Dragani, T. A., Fletcher, C. F., Forrest, A., Frazer, K. S., Gaasterland T., Gariboldi, M., Gissi, C., Godzik, A., Gough, J., Grimmond, S., Gustincich, S., Hirokawa, N., Jackson, I. J., Jarvis, E. D., Kanai, A., Kawaji, H., Kawasawa, Y., Kedzierski, R. M., King, B. L., Konagaya, A., Kurochkin, I. V., Lee, Y., Lenhard, B., Lyons, P. A., Maglott, D. R., Maltais, L., Marchionni, L., McKenzie, L., Miki, H., Nagashima, T., Numata, K., Okido, T., Pavan, W. J., Pertea, G., Pesole, G., Petrovsky, N., Pillai, R., Pontius, J. U., Qi, D., Ramachandran, S., Ravasi, T., Reed, J. C., Reed, D. J., Reid, J., Ring, B. Z., Ringwald, M., Sandelin, A., Schneider, C., Semple, C. A., Setou, M., Shimada, K., Sultana, R., Takenaka, Y., Taylor, M. S., Teasdale, R. D., Tomita, M., Verardo, R., Wagner, L., Wahlestedt, C., Wang, Y., Watanabe, Y., Wells, C., Wilming, L. G., Wynshaw-Boris, A., Yanagisawa, M., Yang, I., Yang, L., Yuan, Z., Zavolan, M., Zhu, Y., Zimmer, A., Carninci, P., Hayatsu, N., Hirozane-Kishikawa, T., Konno, H., Nakamura, M., Sakazume, N., Sato, K., Shiraki, T., Waki, K., Kawai, J., Aizawa, K., Arakawa, T., Fukuda, S., Hara, A., Hashizume, W., Imotani, K., Ishii and Y.. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature, volume 420 (6915): 563--573, December 2002.
Gough and J.. The SUPERFAMILY database in structural genomics.. Acta Cryst., volume In press, November 2002.
Rafal Bogacz and Malcolm W. Brown. The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks. Network: Computation in Neural System, volume 13: 457--485, November 2002. Acrobat:291496 bytes.
Madera, M., Gough and J.. A comparison of profile hidden Markov model procedures for remote homology detection . Nucl. Acids. Res., volume 30 (19): 4321--4328, October 2002.
Gough and J.. Hidden Markov models and their application to genome analysis in the context of protein structure. PhD Thesis, University of Cambridge, October 2002.
Jonathan Lawry. Label Prototypes for Data Analysis. In: 2002 UK Computational Intelligence Workshop, September 2002.
Y. Peng, P. A. Flach, P. Brazdil and C. Soares. Decision tree-based characterization for meta-learning. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 111--122. University of Helsinki, August 2002.
S. Wu and P. A. Flach. Feature selection with labelled and unlabelled data. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 156--167. University of Helsinki, August 2002.
S. Wu and P. A. Flach. Model selection for dynamic processes. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 168--173. University of Helsinki, August 2002.
N. Lavrac, P. A. Flach, B. Kasek and L. Todorovski. Rule induction for subgroup discovery with CN2-SD. In: ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning, M. Bohanec, B. Kasek, N. Lavrac and D. Mladenic, editors, pages 77--87. University of Helsinki, August 2002.
Susanne Hoche and Stefan Wrobel. Scaling Boosting by Margin-based Inclusion of Features and Relations. In: Proceedings of the 13th European Conference on Machine Learning, LNCS 2430, pages 148--160. Springer, August 2002. Acrobat:175372 bytes.
Ines Gonzalez, Jonathan Lawry and Jim Baldwin. A Hierarchical Linguistic Clustering Algorithm for Prototype Induction. In: Information Processing and Management of Uncertainty (IPMU 04), July 2002.
N. Lachiche and P.A. Flach. 1BC2: a true first-order Bayesian classifier. In: Proceedings of the 12th International Conference on Inductive Logic Programming, pages 133--148. Springer-Verlag, July 2002. Acrobat:231672 bytes.
Elias Gyftodimos and Peter Flach. Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains. In: Proceedings of the ICML-2002 Workshop on Development of Representations, Edwin de Jong and Tim Oates, editors, pages 23--30. The University of New South Wales, July 2002. Acrobat:184724 bytes.
Thomas Gaertner, John W. Lloyd and Peter A. Flach. Kernels for Structured Data. In: Proceedings of the 12th International Conference on Inductive Logic Programming�, pages 66--83. Springer-Verlag, July 2002. Acrobat:219190 bytes.
Cesar Ferri, Peter Flach and Jose Hernandez-Orallo. Learning Decision Trees Using the Area Under the ROC Curve. In: Proceedings of the 19th International Conference on Machine Learning, Claude Sammut and Achim Hoffmann, editors, pages 139--146. Morgan Kaufmann, July 2002. Acrobat:700588 bytes.
Nick Randon and Jonathan Lawry. Linguistic Modelling Using a Semi-Naive Bayes Framework. In: Information Processing and Management of Uncertainty, July 2002.
Thomas Gartner, Peter A. Flach, Adam Kowalczyk and Alex J. Smola. Multi-Instance Kernels. In: Proceedings of the 19th International Conference on Machine Learning, Claude Sammut and Achim Hoffmann, editors, pages 179--186. Morgan Kaufmann, July 2002.
Hua, S. J., Guo, T., Gough, J., Sun and Z. R.. Proteins with alpha/beta Fold Class Have High Participation in Fusion Events. J. Mol. Biol., volume 320 (4): 713--719, July 2002.
Nada Lavrac, Filip Zelezny and Peter A/ Flach. RSD: Relational Subgroup Discovery through First-Order Feature Construction. In: Proceedings of the 12th International Conference on Inductive Logic Programming, pages 149--165. Springer-Verlag, July 2002. Acrobat:232809 bytes.
Jim W Hall and Jonathan Lawry. Random and Fuzzy Set Reliability Analysis. In: 28'th Conference on Coastal Engineering, pages 2335--2347. World Scientific, July 2002.
T. Scheffer, S. Wrobel, B. Popov, D. Ognianov, C. Decomain and Susanne Hoche. Learning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. . Kuenstliche Intelligenz, Themenheft Textmining, volume 02, June 2002. Acrobat:276452 bytes.
Jonathan Lawry. A New Calculus for Linguistic Prototypes in Data Analysis. In: Soft Methods in Probability, Statistics, and Data Analysis , pages 116--125. Springer, June 2002.
Jardine, O., Gough, J., Chothia, C., Teichmann and T.. Comparison of the Small Molecule Metabolic Pathways of Escherichia coli and Saccharomyces cerevisiae. Genome Res., volume 12 (6): 916--929, June 2002.
Tim Kovacs. Learning Classifier Systems Resources. Journal of Soft Computing, volume 6 (3-4): 240--243, June 2002. Acrobat:135347 bytes.
Peter Flach and Nada Lavrac. Learning in Clausal Logic: A Perspective on Inductive Logic Programming. In: Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski), Antonis C. Kakas and Fariba Sadri, editors, volume LNAI 2407, pages 437--471. Springer-Verlag, June 2002. External information on this paper. Acrobat:374688 bytes.
Jonathan Lawry and Jordi Recasens. Normalizacion de Distribuciones Posibilisticas Mediante T-Normas. In: ESTYLF 2002 , June 2002.
Tim Kovacs. What should a classifier system learn and how should we measure it?. Journal of Soft Computing, volume 6 (3-4): 171--182, June 2002.
Tim Kovacs. Performance and Population State Metrics for Rule-based Learning Systems. In: Proceedings of the 2002 Congress on Evolutionary Computation (CEC), David Fogel, editor, pages 1781--1786. IEEE Press, May 2002. Acrobat:318514 bytes.
Tim Kovacs. Two Views of Classifier Systems. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 2321, pages 74--87. Springer-Verlag, April 2002. Acrobat:206966 bytes.
Rafal Bogacz and Malcolm W. Brown. Capacity of perirhinal cortex network for recognising frequently repeating stimuli. Neurocomputing, volume 44-46: 337--342, February 2002. Acrobat:49056 bytes.
Y. Peng, P.A. Flach, C. Soares and P. Brazdil. Improved data set characterisation for meta-learning. In: Proc. 5th International Conference on Discovery Science (DS-02), pages 141--152. Springer-Verlag, January 2002. External information on this paper. Acrobat:118300 bytes.
Peter A. Flach. Modern Logic and its Role in the Study of Knowledge. In: A Companion to Philosophical Logic, Dale Jacquette, editor, pages 680--693. Blackwell Publishers, January 2002. Acrobat:265127 bytes.
Gough, J., Chothia and C.. SUPERFAMILY:HMMs representing all proteins of known structure.. Nucl. Acids Res., volume 30 (1): 268--272, January 2002.
T. Urbancic, M. Skrjanc and P.A. Flach. Web-based analysis of data mining and decision support education. AI Communications, volume 15: 199--204, January 2002. External information on this paper.

2001

Colin J. Burgess and Martin Lefley. Can genetic programming improve software effort estimation? A comparative evaluation. Information and Software Technology, volume 43 (14): 863--873, December 2001.
Teichmann, S.A., Rison, S. C. G., Thornton, J. M., Riley, M., Gough, J., Chothia and C.. Small Molecule Metabolism: An Enzyme Mosaic. Trends Biotechnol., volume 19 (12): 482--486, December 2001.
Colin J. Burgess, Ilesh Dattani, Gordon Hughes and John H. R. May . Using Influence Diagrams to aid the Management of Software Change. Requirements Engineering, volume 6 (4): 175--182, December 2001.
Gough, J., Karplus, K., Hughey, R., Chothia and C.. Assignment of Homology to Genome Sequences Using a Library of Hidden Markov Models That Represent All Protein of Known Structure. J. Mol. Biol., volume 313 (4): 903--919, November 2001.
Nada Lavrac and Peter A. Flach. An extended transformation approach to inductive logic programming. ACM Transactions on Computational Logic, volume 2 (4): 458--494, October 2001. External information on this paper. Acrobat:309368 bytes.
Rafal Bogacz. Computational models of familiarity discrimination in the perirhinal cortex. PhD Thesis, Department of Computer Science, University of Bristol, October 2001. Acrobat:947595 bytes.
Thomas Gartner, Shaomin Wu and Peter A. Flach. Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 69--80. ECML/PKDD'01 workshop notes, September 2001. External information on this paper.
Peter Flach and Saso Dzeroski. Editorial: Inductive Logic Programming is Coming of Age. Machine Learning, volume 43 (3): 207--209, September 2001. External information on this paper. Acrobat:32351 bytes.
Ljupco Todorovski, Irene Weber, Nada Lavrac, Olga Stepankova, Saso Dzeroski, Dimitar Kazakov, Darko Zupanic and Peter Flach. Internet Resources on ILP for KDD. In: Relational Data Mining, Saso Dzeroski and Nada Lavrac, editors, pages 375--388. Springer-Verlag, September 2001. External information on this paper.
Jonathan Lawry. Label Semantics: A Formal Framework for Modelling with Words. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pages 374--384. Springer, September 2001.
Peter A. Flach. On the state of the art in machine learning: A personal review. Artificial Intelligence, volume 13 (1/2): 199--222, September 2001. External information on this paper. Acrobat:180240 bytes.
Stefan Kramer, Nada Lavrac and Peter Flach. Propositionalization Approaches to Relational Data Mining. In: Relational Data Mining, Saso Dzeroski and Nada Lavrac, editors, pages 262--291. Springer-Verlag, September 2001. External information on this paper.
Susanne Hoche and Stefan Wrobel. Relational Learning Using Constrained Confidence-Rated Boosting. In: Proceedings of the Eleventh International Conference on Inductive Logic Programming, LNAI 2157, pages 51--64. Springer, September 2001. Acrobat:164848 bytes.
Y. Peng and P. Flach. Soft Discretization to Enhance the Continuous Decision Tree Induction. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 109--118. ECML/PKDD'01 workshop notes, September 2001. External information on this paper.
Peter A. Flach and Dragan Gamberger. Subgroup evaluation and decision support for a direct mailing marketing problem. In: Integrating Aspects of Data Mining, Decision Support and Meta-Learning, Christophe Giraud-Carrier, Nada Lavrac and Steve Moyle, editors, pages 45--56. ECML/PKDD'01 workshop notes, September 2001. External information on this paper. Acrobat:114262 bytes.
Amelie Deltour. Tertius extension to Weka. Technical Report CSTR-01-001, Department of Computer Science, University of Bristol, September 2001. Acrobat:85816 bytes.
Teichmann, S. A., Rison, S. C., Thornton, J. M., Riley, M., Gough, J., Chothia and C.. The Evolution and Structural Anatomy of the Small Molecule Metabolic Pathways in Escherichia coli. J Mol Biol, volume 311 (4): 693--708, August 2001.
Tim Kovacs. Towards a Theory of Strong Overgeneral Classifiers. In: Foundations of Genetic Algorithms 6, Worthy Martin and William Spears, editors, pages 165--184. Morgan Kaufmann, August 2001. Acrobat:112597 bytes.
T. Troscianko, A. Holmes, J. Stillman, M. Mirmehdi and D. Wright. Will They Have A Fight? The Predictability of Natural Behaviour Viewed Thro ugh CCTV Cameras. In: European Conference on Visual Perception 2001, Perception Vol 30 Supple ment, pages 72--72. Pion Ltd, August 2001.
Apic, G., Gough, J., Teichmann and S. A.. Domain combinations in archaeal, eubacterial and eukaryotic proteomes. J Mol Biol., volume 310 (2): 311--325, July 2001.
Martin V. Butz, Tim Kovacs, Pier Luca Lanzi and Stewart W. Wilson. How XCS Evolves Accurate Classifiers. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), Lee Spector et al. , editor, pages 927--934. Morgan Kaufmann, July 2001. Acrobat:289961 bytes.
Jonathan Lawry. An Alternative Approach to Computing with Words. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, volume 9(Suppl): 3--16, June 2001.
Rafal Bogacz, Malcolm W. Brown and Christophe Giraud-Carrier. Emergence of Motion-sensitive Neurons Properties by Learning Sparse Code for Natural Moving Images. In: Advances in Neural Information Processing Systems, Todd K. Leen, Thomas G. Dietterich and Volker Tresp, editors, volume 13, pages 838--844. MIT Press, June 2001. Acrobat:155870 bytes.
Jonathan Lawry. Possibilistic Normalisation and Reasoning Under Partial Inconsistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 9(4): 413--436, June 2001.
Thomas Gaertner and Peter A. Flach. WBC_SVM: Weighted Bayesian Classification based on Support Vector Machines. In: Proceedings of the Eighteenth International Conference on Machine Learning, Carla E. Brodley and Andrea Pohoreckyj Danyluk, editors, pages 207--209. Morgan Kaufmann, June 2001. Acrobat:74123 bytes.
Tim Kovacs. What should a classifier system learn?. In: Proceedings of the 2001 Congress on Evolutionary Computation (CEC), Jong-Hwan Kim, editor, pages 775--782. IEEE Press, May 2001. Acrobat:115207 bytes.
Tim Kovacs and Pier Luca Lanzi. A Bigger Learning Classifier Systems Bibliography. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1996, pages 213--249. Springer-Verlag, April 2001. External information on this paper.
Apic, G., Gough, J., Teichmann and S. A.. An insight into domain combinations. Bioinformatics, volume 17 Suppl 1: 83--89, April 2001.
Tim Kovacs and Manfred Kerber. What Makes a Problem Hard for XCS?. In: Advances in Learning Classifier Systems, P. L. Lanzi, W. Stolzmann and S. W. Wilson, editors, volume 1996, pages 80--99. Springer-Verlag, April 2001. Acrobat:270154 bytes.
Konstantinos Veropoulos. Machine Learning Approaches to Medical Decision Making. PhD Thesis, Department of Computer Science, University of Bristol, March 2001. Acrobat:6380097 bytes.
Susanne Hoche. Possibilistic Belief Revision - Foundations and Implementation . Tectum . March 2001.
Rafal Bogacz, Malcolm W. Brown and Christophe Girraud-Carrier. Familiarity discrimination algorithm inspired by computations of the perirhinal cortex. In: Emergent Neural Computational Architectures based on Neuroscience, Stefan Wermter, Jim Austin and David Willshaw, editors, pages 435--448. Springer, February 2001. Acrobat:176122 bytes.
Rafal Bogacz, Malcolm W, Brown and Christophe Giraud-Carrier. Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex. Neurocomputing, volume 38: 1121--1126, February 2001. Acrobat:128858 bytes.
Peter A. Flach and Nicolas Lachiche. Confirmation-Guided Discovery of First-Order Rules with Tertius. Machine Learning, volume 42 (1/2): 61--95, January 2001. Acrobat:150466 bytes.
Rafal Bogacz, Malcolm W. Brown and Christophe Giraud-Carrier. Model of Familiarity Discrimination in the Perirhinal Cortex. Journal of Computational Neuroscience, volume 10 (1): 5--23, January 2001. Acrobat:177194 bytes.

2000

Christophe Giraud-Carrier. A Note on the Utility of Incremental Learning. AI Communications, volume 13 (4): 215--223, December 2000. Acrobat:83462 bytes.
J. Shanahan, B. Thomas, M. Mirmehdi, T. Martin, N. Campbell and J. Baldwin. A Soft Computing Approach to Road Classification. Journal of Intelligent and Robotic Systems, volume 29 (4): 349--387, December 2000. External information on this paper.
Gough, J., Chothia, C., Karplus, K., Barrett, C., Hughey and R.. Currents in Computational Molecular Biology. Miyano, S., Shamir, R., Takagi and T., editors, pages 124--125. Universal Academy Press INC., December 2000.
Peter A. Flach. On the state of the art in Machine Learning: a personal review. Technical Report CSTR-00-018, Department of Computer Science, University of Bristol, December 2000. Acrobat:122610 bytes.
Iztok Savnik and Peter A. Flach. Discovery of multivalued dependencies from relations. Intelligent Data Analysis, volume 4 (3,4): 195--211, November 2000. Acrobat:281746 bytes.
Ian Wright and James Marshall. Egocentric AI processing for computer entertainment: a real-time process manager for games. In: Proceedings of the First International Conference on Intelligent Games and Simulation (GAME-ON 2000), SCS Europe BVBA, November 2000. Acrobat:176800 bytes.
Ian Wright and James Marshall. RC++: a rule-based language for game AI. In: Proceedings of the First International Conference on Intelligent Games and Simulation (GAME-ON 2000), SCS Europe BVBA, November 2000. Acrobat:115589 bytes.
Peter A. Flach. Logical characterisations of inductive learning. In: Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning, Dov M. Gabbay and Rudolf Kruse, editors, pages 155--196. Kluwer Academic Publishers, October 2000. Acrobat:521850 bytes.
Peter A. Flach and Antonis C. Kakas. On the relation between abduction and inductive learning. In: Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning, Dov M. Gabbay and Rudolf Kruse, editors, pages 1--33. Kluwer Academic Publishers, October 2000.
Nicolas Lachiche and Peter Flach. A First-order Representation for Knowledge Discovery and Bayesian Classification on Relational Data. In: PKDD2000 workshop on Data Mining, Decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions, Pavel Brazdil and Alipio Jorge, editors, pages 49--60. 4th International Conference on Principles of Data Mining and Knowledge Discovery, September 2000. Acrobat:45880 bytes.
Ahmed Guessoum and John P. Gallagher. Abductive reasoning with knowledge bases for context modelling. In: Abduction, Belief and Context in Dialogue, H. Bunt and W. Black, editors, pages 275--288. John Benjamins, September 2000.
Hilan Bensusan and Christophe Giraud-Carrier. Discovering task neighbourhoods through landmark learning performances. In: Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, D. Zighed, J. Komorowski and J. Zytkow, editors, pages 325--331. Springer, September 2000. Acrobat:131182 bytes.
Hilan Bensusan. Induction and reason: Cognitive tendencies under the tribunal of experience. In: Proceedings of the 23rd International Wittgenstein Symposium, pages 77--84. The Austrian Ludwig Wittgenstein Society, September 2000. Acrobat:93029 bytes.
Ljupco Todorovski, Peter Flach and Nada Lavrac. Predictive Performance of Weighted Relative Accuracy. In: 4th European Conference on Principles of Data Mining and Knowledg