Abstract is missing.
- Uncertain Learning Agents (Abstract)Stuart J. Russell. 3
- Constructing and Sharing Perceptual DistiinctionsLuc Stells. 4-13
- On Prediction by Data CompressionPaul M. B. Vitányi, Ming Li. 14-30
- Induction of Feature Terms With INDIEEva Armengol, Enric Plaza. 33-48
- Exploiting Qualitative Knoledge to Enhance Skill AcquisitionCristina Baroglio. 49-56
- Integrated Learning and Planning Based on Truncating Temporal DifferencesPawel Cichosz. 57-72
- Theta-Subsumption for Structural MatchingLuc De Raedt, Peter Idestam-Almquist, Gunther Sablon. 73-84
- Classification by Voting Feature IntervalsGülsen Demiröz, H. Altay Güvenir. 85-92
- Constructing Intermediate Concepts by Decomposition of Real FunctionsJanez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko. 93-107
- Conditions for Occam s Razor Applicability and Noise EliminationDragan Gamberger, Nada Lavrac. 108-123
- Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute ConstructionYuh-Jyh Hu. 124-137
- Metrics on Terms and ClausesAlan Hutchinson. 138-145
- Learning When Negative Examples AboundMiroslav Kubat, Robert C. Holte, Stan Matwin. 146-153
- A Model for Generalization Based on Confirmatory InductionNicolas Lachiche, Pierre Marquis. 154-161
- Learning Linear Constraints in Inductive Logic ProgrammingLionel Martin, Christel Vrain. 162-169
- Finite-Element Methods with Local Triangulation Refinement for Continuous Reimforcement Learning ProblemsRémi Munos. 170-182
- Inductive Genetic Programming with Decision TreesNikolay I. Nikolaev, Vanio Slavov. 183-190
- Parallel and Distributed Search for Structure in Multivariate Time SeriesTim Oates, Matthew D. Schmill, Paul R. Cohen. 191-198
- Compression-Based Pruning of Decision ListsBernhard Pfahringer. 199-212
- Probabilistic Incremental Program Evolution: Stochastic Search Through Program SpaceRafal Salustowicz, Jürgen Schmidhuber. 213-220
- NeuroLinear: A System for Extracting Oblique Decision Rules from Neural NetworksRudy Setiono, Huan Liu. 221-233
- Inducing and Using Decision Rules in the GRG Knowledge Discovery SystemNing Shan, Howard J. Hamilton, Nick Cercone. 234-241
- Learning and Exploitation Do Not Conflict Under Minimax OptimalityCsaba Szepesvári. 242-249
- Model Combination in the Multiple-Data-Batches ScenarioKai Ming Ting, Boon Toh Low. 250-265
- Search-Based Class DiscretizationLuís Torgo, João Gama. 266-273
- Natural Ideal Operators in Inductive Logic ProgrammingFabien Torre, Céline Rouveirol. 274-289
- A Case Study in Loyality and Satisfaction ResearchKoen Vanhoof, Josée Bloemer, K. Pauwels. 290-297
- Ibots Learn Genuine Team SolutionsCristina Versino, Luca Maria Gambardella. 298-311
- Global Data Analysis and the Fragmentation Problem in Decision Tree InductionRicardo Vilalta, Gunnar Blix, Larry A. Rendell. 312-326
- Case-Based Learning: Beyond Classification of Feature VectorsDavid W. Aha, Dietrich Wettschereck. 329-336
- Empirical Learning of Natural Language Processing TaskWalter Daelemans, Antal van den Bosch, Ton Weijters. 337-344
- Human-Agent Interaction and Machine LearningMichael Kaiser, Volker Klingspor, Holger Friedrich. 345-352
- Learning in Dynamically Changing Domains: Theory Revision and Context Dependence IssuesCharles Taylor, Gholamreza Nakhaeizadeh. 353-360