Abstract is missing.
- Abstracting Background Knowledge for Concept LearningAttilio Giordana, Davide Roverso, Lorenza Saitta. 1-13
- A Multistrategy Learning Approach to Domain Modeling and Knowledge AcquisitionGheorghe Tecuci. 14-32
- Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory DomainsGerhard Widmer. 33-43
- The Replication Problem: A Constructive Induction ApproachDer-Shung Yang, Gunnar Blix, Larry A. Rendell. 44-61
- Integrating an Explanation-Based Learning Mechanism into a General Problem-SolverF. Zerr, Jean-Gabriel Ganascia. 62-80
- Analytical Negative Generalization and Empirical Negative Generalization are not Cumulative: A Case StudyClaudio Carpineto. 81-88
- Panel: Evaluating and Changing Representation in Concept AcquisitionFrancesco Bergadano, Floriana Esposito, Céline Rouveirol, Stefan Wrobel. 89-100
- Panel: Application of Empirical Discovery in Knowledge AcquisitionJan M. Zytkow, Jieming Zhu. 101-117
- Using Accuracy in Scientific DiscoveryMajorie Moulet. 118-136
- KBG: A Generator of Knowledge BasesGilles Bisson. 137
- On Estimating Probabilities in Tree PruningBojan Cestnik, Ivan Bratko. 138-150
- Rule Induction with CN2: Some Recent ImprovementsPeter Clark, Robin Boswell. 151-163
- On Changing Continuous Attributes into Ordered Discrete AttributesJason Catlett. 164-178
- A Method for Inductive Cost OptimizationFloor Verdenius. 179-191
- When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?Cullen Schaffer. 192-205
- Semi-Naive Bayesian ClassifierIgor Kononenko. 206-219
- Description Contrasting in Incremental Concept FormationChristine Decaestecker. 220-233
- The System FLORA: Learning from Type-Varying Training SetsMiroslav Kubat, Jirina Pavlickova. 234
- Message-Based Bucket Brigade: An Algorithm for the Apportionment of Credit ProblemMarco Dorigo. 235-244
- Acquiring Object-Knowledge for Learning SystemsLuc De Raedt, Johan Feyaerts, Maurice Bruynooghe. 245-264
- Learning Nonrecursive Definitions of Relations with LINUSNada Lavrac, Saso Dzeroski, Marko Grobelnik. 265-281
- Extending Explanation-Based Generalization by Abstraction OperatorsIgor Mozetic, Christian Holzbaur. 282-297
- Static Learning for an Adaptive Theorem ProverCatherine Belleannée, Jacques Nicolas. 298-311
- Explanation-Based Generalization and Constraint Propagation with Interval LabelsKai Zercher. 312-326
- Learning by Explanation of FailuresPaulo Urbano. 327-343
- Panel: Logic and LearnabilityLuc De Raedt. 344
- Panel: Causality and LearningLorenza Saitta. 345
- Seed Space and Version Space: Generalizing from ApproximationsJacques Nicolas. 346
- Integrating EBL with automatic Text AnalysisSylvain Delisle, Stan Matwin, Lionel Zupan. 347
- Abduction and Induction for Explanation-Based LearningBéatrice Duval. 348-360
- Consistent Term Mappings, Term Partitions and Inverse ResolutionShan-Hwei Nienhuys-Cheng, Peter A. Flach. 361-374
- Learning by Analogical Replay in PRODIGY: First ResultsManuela M. Veloso, Jaime G. Carbonell. 375-390
- Analogical Reasoning for Logic ProgrammingBirgit Tausend, Siegfried Bell. 391-397
- Case-Based Learning of Strategic KnowledgeBeatriz López, Enric Plaza. 398-411
- Panel: Learning in Distributed Systems and Multi-Agent EnvironmentsPavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde. 412-423
- Learning to Relate Terms in a Multiple Agent EnvironmentPavel Brazdil, Stephen Muggleton. 424-439
- Extending Learning to Multiple Agents: Issues and a Model for Multi-Agent Machine Learning (MA-ML)Sati S. Sian. 440-456
- Panel: Applications of Machine Learning: Notes from the Panel MembersPeter Clark, Bojan Cestnik, Claude Sammut, Joachim Stender. 457-462
- Evaluation of Learning Systems: An Artificial Data-Based ApproachHakim Lounis, Gilles Bisson. 463-481
- Shift of Bias in Learning from Drug Compounds: The Fleming ProjectLuigi Di Pace, F. Fabrocini, G. Bolis. 482-493
- Learning Features by Experimentation in ChessEduardo F. Morales. 494-511
- Representation and Induction of Musical Structures for Computer Assisted CompositionFrancis Courtot. 512
- IPSA: Inductive Protein Structure AnalysisSteffen Schulze-Kremer, Ross D. King. 513
- Panel: Four Stances on Knowledge Acquisition and Machine LearningThomas R. Addis, Yves Kodratoff, Ramon López de Mántaras, Katharina Morik, Enric Plaza. 514-533