| Time | Event |
|---|---|
| 09:00-09:30 | Opening |
| Time | Presentation |
|---|---|
| 09:30-10:30 | "Naive (Bayes) at Forty: The Independence Assumption
in Information Retrieval", D. D. Lewis |
| Time | Presentation |
|---|---|
| 10:30-10:45 | "Feature subset selection in text learning", D. Mladenic |
| 10:45-11:00 | "A Monotonic Measure for Optimal Feature Selection", H. Liu, H. Motoda, M. Dash |
| Time | Event |
|---|---|
| 11:00-11:30 | Coffee Break |
| Time | Presentation |
|---|---|
| 11:30-11:45 | "Learning Verbal Transitivity using Loglinear Models", N. M. Marques, G. P. Lopes, C. A. Coelho |
| 11:45-12:15 | "Part-of-Speech Tagging Using Decision Trees", L. Màrquez, H. Rodríguez |
| 12:15-12:30 | "Inference of finite automata: Reducing the Search Space with an ordering of pairs of states", F. Coste, J. Nicolas |
| Time | Presentation |
|---|---|
| 12:30-12:45 | "Automatic Acquisition of lexical Knowledgefrom sparse and noisy Data", R. Schneider |
| 12:45-13:00 | "A Normalization Method For Contextual Data: Experience From A Large-Scale Application", S. Létourneau, S. Matwin, F. Famili |
| Time | Event |
|---|---|
| 13:00-14:00 | Lunch |
| Time | Presentation |
|---|---|
| 14:00-14:30 | "Bayes Optimal Instance-Based Learning", P. Kontkanen, P. Myllymäki, T. Silander, H. Tirri |
| 14:30-14:45 | "Bayesian and Information-Theoretic Priors for Bayesian Network Parameters", P. Kontkanen, P. Myllymäki, T. Silander, H. Tirri, P. Grünwald |
| Time | Presentation |
|---|---|
| 14:45-15:15 | "Classification Learning Using All Rules", M. Viswanathan, G. Webb |
| 15:15-15:45 | "Improved Pairwise Coupling Classification With Correcting Classifiers", M. Moreira, E. Mayoraz |
| 15:45-16:00 | "Experiments on solving multiclass learning problems by n2-classifier", J. Jelonek, J. Stefanowski |
| Time | Event |
|---|---|
| 16:00-16:30 | Coffee Break |
| Time | Presentation |
|---|---|
| 16:30-17:00 | "Combining Classifiers with constructive Induction", J. Gama |
| 17:00-17:15 | "Boosting Trees for Cost-Sensitive Classifications", K. M. Ting, Z. Zheng |
| 17:15-17:45 | "Naive Bayesian Classifier Committees", Z. Zheng |
| 17:45-18:00 | "Batch Classifications with Discrete Finite Mixtures", P. Kontkanen, P. Myllymäki, T. Silander, H. Tirri |
| Time | Event |
|---|---|
| 18:00-19:00 | Demonstrations |
| Time | Event |
|---|---|
| 19:00-??:?? | Welcome Party |
| Time | Presentation |
|---|---|
| 09:00-09:30 | "Induction of Recursive Program Schemes", U. Schmid, F.Wysotzki |
| 09:30-10:00 | "Predicate Invention and Learning from Positive Examples Only", H. Boström |
| 10:00-10:30 | "An inductive logic programming framework to learn a concept from ambiguous examples", D. Bouthinon, H. Soldano |
| Time | Presentation |
|---|---|
| 09:00-09:30 | "Composing Functions to Speed up Reinforcement Learning in a Changing World", C. Drummond |
| 09:30-10:00 | "Theoretical Results on Reinforcement Learning with Temporally Abstract Behaviors", D. Precup, R. S. Sutton, S. Singh |
| 10:00-10:30 | "A general convergence method for Reinforcement Learning in continuous case", R. Munos |
| Time | Event |
|---|---|
| 10:30-11:00 | Coffee Break |
| Time | Presentation |
|---|---|
| 11:00-11:15 | "First-Order Learning for Web Mining", M. Craven, S. Slattery, K. Nigam |
| 11:15-11:45 | "Explanation-Based Generalization in Game Playing: Quantitative Results", S. Schrödl |
| Time | Presentation |
|---|---|
| 11:00-11:30 | "Speeding up Q(lambda)-learning", M. Wiering, J. Schmidhuber |
| 11:30-11:45 | "Q-Learning and Redundancy Reduction in Classifier Systems with Internal State", A. Giani, A. Sticca, F. Baiardi, A. Starita |
| Time | Presentation |
|---|---|
| 11:45-12:00 | "Learning to Classify X-Ray Images Using Relational Learning", C. Sammut, T. Zrimec |
| 12:00-12:15 | "ILP Experiments in Detecting Traffic Problems", S. Dzeroski, N. Jacobs, M. Molina, C. Moure |
| Time | Presentation |
|---|---|
| 11:45-12:00 | "Interpretable Neural Networks with BP-SOM", T. Weijters, A. van den Bosch, H. J. van den Herik |
| 12:00-12:15 | "Convergence Rate of Minimization Learning for Neural Networks", M. H. Mohamed, T. Minamoto, K. Niijima |
| Time | Presentation |
|---|---|
| 12:15-12:45 | "Simulating Children Learning and Explaining Elementary Heat Transfer Phenomena: a Multistrategy System at Work", F. Neri |
| Time | Presentation |
|---|---|
| 12:15-12:30 | "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", T. Joachims |
| 12:30-12:45 | "A Short Note About the Application of Polynomial Kernels with Fractional Degree in Support Vector Learning", R. Rossius, G. Zenker, A. Ittner, W. Dilger |
| Time | Event |
|---|---|
| 12:45-14:00 | Lunch |
| Time | Presentation |
|---|---|
| 14:00-14:30 | "Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterization", N. Lachiche, P. Marquis |
| 14:30-15:00 | "Error-Correcting Output Codes for Local Learners", F. Ricci, D. Aha |
| 15:00-15:30 | "Recursive lazy learning for modeling and control", G. Bontempi, M. Birattari, H. Bersini |
| 15:30-15:45 | "Using Lattice-based Framework as a Tool for Feature Extraction", E. Mephu Nguifo, P. Njiwoua |
| Time | Event |
|---|---|
| 15:45-16:15 | Coffee Break |
| Time | Presentation |
|---|---|
| 16:15-16:30 | "Determining property relevance in concept formation by computing correlation between properties", J. J. F. Vasco |
| 16:30-16:45 | "A buffering strategy to avoid ordering effects in clustering", L. Talavera, J. Roure |
| Time | Event |
|---|---|
| 16:45-18:15 | Posters |
| Time | Event |
|---|---|
| 18:15-??:?? | Community Meeting |
| Time | Presentation |
|---|---|
| 09:00-10:00 | "Learning in Agent-Oriented Worlds", K. De Jong |
| Time | Presentation |
|---|---|
| 10:00-10:30 | "Coevolutionary, Distributed Search for Inducing Concept Descriptions", C. Anglano, A. Giordana, G. Lo Bello, L. Saitta |
| 10:30-11:00 | "Mimetic Evolution", A. Ducoulombier, M. Sebag |
| 11:00-11:15 | "A Host-Parasite Genetic Algorithm for Assymetric Tasks", B. Olsson |
| Time | Event |
|---|---|
| 11:15-11:45 | Coffee Break |
| Time | Presentation |
|---|---|
| 11:45-12:15 | "Inducing Models of Human Control Skills", R. Camacho |
| 12:15-12:30 | "God doesn't always shave with Occam's razor - learning when and how to prune", H. Bensusan |
| 12:30-12:45 | "Error Estimators for Pruning Regression Trees", L. Torgo |
| 12:45-13:00 | "Pruning Decision Trees with Misclassification Costs", J. P. Bradford, C. Kunz, R. Kohavi, C. Brunk, C. E. Brodley |
| Time | Event |
|---|---|
| 13:00-14:00 | Lunch |
| Time | Event |
|---|---|
| 14:00-??:?? | Trip and Gala Diner |
| Time | Session | |||||
|---|---|---|---|---|---|---|
| 09:00-18:00 | WORKSHOP 1 | WORKSHOP 2 | WORKSHOP 3 | WORKSHOP 4 | WORKSHOP 5 | WORKSHOP 6 |