Abstract is missing.
- Measuring Quality of Concept DescriptionsFrancesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang. 1-14
- Improving Knowledge-Based System Performance by ExperienceMarco Botta, Lorenza Saitta. 15-23
- Learnability in the Presence of NoiseStéphane Boucheron, Jean Sallantin. 25-35
- Representing Arguments as Background Knowledge for Constraining GereralisationPeter Clark. 37-44
- The Incremental Analogy Machine: A Computational Model of AnalogyMark T. Keane, Mike Brayshaw. 53-62
- Comparing Instance-Averaging with Instance-Filtering Learning AlgorithmsDennis F. Kibler, David W. Aha. 63-79
- Machine Learning as an Experimental ScienceDennis F. Kibler, Pat Langley. 81-92
- Problem Solvers that LearnBrent J. Krawchuk, Ian H. Witten. 93-106
- A Strategy for Constructing New Predicates in First-Order LogicStephen Muggleton. 123-130
- A Study of Generalisation in Logic ProgramsTim Niblett. 131-138
- Economic Induction: A Case StudyMarlon Núñez. 139-145
- Integrating Explanation-Based and Empirical Learning Methods in OCCAMMichael J. Pazzani. 147-165
- On Interactive Concept-Learning and AssimilationLuc De Raedt, Maurice Bruynooghe. 167-176
- Learning Hard ConceptsLarry A. Rendell. 177-200
- REFINER: A Case-Based Differential Diagnosis Aide for Knowledge Acquisition and Knowledge RefinementS. Sharma, Derek H. Sleeman. 201-210
- Learning through Progressive RefinementWalter Van de Velde. 211-226
- An Analogical Method to do Incremental Learning of ConceptsChristel Vrain, Cheng-Ren Lu. 227-235
- Learning by Failure to ProveRüdiger Wirth. 237-251
- Automatic Representation Adjustment in an Observational Discovery SystemStefan Wrobel. 253-262