Abstract is missing.
- Knowledge Acquisition from Examples using Maximal Representation LearningS. Arunkumar, S. Yegneshwar. 2-8
- KBG : A Knowledge Based GeneralizerGilles Bisson. 9-15
- Performance Analysis of a Probabilistic Inductive Learning SystemKeith C. C. Chan, Andrew K. C. Wong. 16-23
- A Comparative Study of ID3 and Backpropagation for English Text-to-Speech MappingThomas G. Dietterich, Hermann Hild, Ghulum Bakiri. 24-31
- Learning from Data with Bounded InconsistencyHaym Hirsh. 32-39
- Conceptual Set Covering: Improving Fit-And-Split AlgorithmsCarl Myers Kadie. 40-48
- Incremental Learning of Rules and Meta-rulesMarc Schoenauer, Michèle Sebag. 49-57
- An Incremental Method for Finding Multivariate Splits for Decision TreesPaul E. Utgoff, Carla E. Brodley. 58-65
- Incremental Induction of Topologically Minimal TreesWalter Van de Velde. 66-74
- A Rational Analysis of CategorizationJohn R. Anderson, Michael Matessa. 76-84
- Search Control, Utility, and Concept InductionBrian M. Carlson, Jerry B. Weinberg, Douglas H. Fisher. 85-92
- Graph Clustering and Model Learning by Data CompressionJakub Segen. 93-101
- An Analysis of Representation Shift in Concept LearningWilliam W. Cohen. 104-112
- Beyond Inversion of ResolutionCéline Rouveirol, Jean-Francois Puget. 122-130
- Genetic ProgrammingHugo de Garis. 132-139
- Improving the Performance of Genetic Algorithms in Automated Discovery of ParametersNagesh Kadaba, Kendall E. Nygard. 140-148
- Using Genetic Algorithms to Learn Disjunctive Rules from ExamplesAndrew McCallum, Kent A. Spackman. 149-152
- Newboole: A Fast GBML SystemPierre Bonelli, Alexandre Parodi, Sandip Sen, Stewart W. Wilson. 153-159
- Learning Functions in k-DNF from ReinforcementLeslie Pack Kaelbling. 162-169
- Is Learning Rate a Good Performance Criterion for Learning?Claude Sammut, James Cribb. 170-178
- Active Perception and Reinforcement LearningSteven D. Whitehead, Dana H. Ballard. 179-188
- Explanations of Empirically Derived Reactive PlansDiana F. Gordon, John J. Grefenstette. 198-203
- Learning and Enforcement: Stabilizing Environments to Facilitate ActivityKristian J. Hammond. 204-210
- Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target EnvironmentConnie Loggia Ramsey, John J. Grefenstette, Alan C. Schultz. 211-215
- Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic ProgrammingRichard S. Sutton. 216-224
- Correcting and Extending Domain Knowledge using Outside GuidanceJohn E. Laird, Michael Hucka, Eric S. Yager, Christopher M. Tuck. 235-243
- Acquisition of Dynamic Control Knowledge for a Robotic ManipulatorAndrew W. Moore. 244-252
- Feature Extraction and Clustering of Tactile Impressions with Connectionist ModelsMarcus Thint, Paul P. Wang. 253-258
- Generalizing the Order of Goals as an Approach to Generalizing NumberHenrik Boström. 260-267
- Learning Approximate Control Rules of High UtilityWilliam W. Cohen. 268-276
- Explanation-Based Learning with Incomplete Theories: A Three-step ApproachJean Genest, Stan Matwin, Boris Plante. 286-294
- Using Abductive Recovery of Failed Proofs for Problem Solving by AnalogyYves Kodratoff. 295-303
- Issues in the Design of Operator Composition SystemsSteven Minton. 304-312
- Incremental Learning of Explanation Patterns and Their IndicesAshwin Ram. 313-320
- Integrated Learning in a real DomainFrancesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori. 322-329
- Incremental Version-Space MergingHaym Hirsh. 330-338
- Average Case Analysis of Conjunctive Learning AlgorithmsMichael J. Pazzani, Wendy Sarrett. 339-347
- A Framework for Multi-Paradigmatic LearningBernard Silver, William J. Frawley, Glenn A. Iba, John Vittal, Kelly Bradford. 348-356
- An Integrated Framework of Inducing Rules from ExamplesYihua Wu, Shulin Wang, Qing Zhou. 357-365
- A General Method for Learning Idiosyncratic GrammarsJill Fain Lehman. 368-376
- Learning String Patterns and Tree Patterns from ExamplesKer-I Ko, Assaf Marron, Wen-Guey Tzeng. 384-391
- Learning with Discrete Multi-Valued NeuronsZoran Obradovic, Ian Parberry. 392-399
- The General Utility Problem in Machine LearningLawrence B. Holder. 402-410
- A Robust Approach to Numeric DiscoveryBernd Nordhausen, Pat Langley. 411-418
- More Results on the Complexity of Knowledge Base Refinement: Belief NetworksMarco Valtorta. 419-426