Abstract is missing.
- FOIL: A Midterm ReportJ. Ross Quinlan, R. Mike Cameron-Jones. 3-20
- Inductive Logic Programming: Derivations, Successes and ShortcomingsStephen Muggleton. 21-37
- Two Methods for Improving Inductive Logic Programming SystemsIrene Stahl, Birgit Tausend, Rüdiger Wirth. 41-55
- Generalization under Implication by using Or-IntroductionPeter Idestam-Almquist. 56-64
- On the Proper Definition of Minimality in Specialization and Theory RevisionStefan Wrobel. 65-82
- Predicate Invention in Inductive Data EngineeringPeter A. Flach. 83-94
- Subsumption and Refinement in Model InferencePatrick R. J. van der Laag, Shan-Hwei Nienhuys-Cheng. 95-114
- Some Lower Bounds for the Computational Complexity of Inductive Logic ProgrammingJörg-Uwe Kietz. 115-123
- Improving Example-Guided UnfoldingHenrik Boström. 124-135
- Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their ReliabilityJames Cussens. 136-152
- Induction of Recursive Bayesian ClassifiersPat Langley. 153-164
- Decision Tree Pruning as a Search in the State SpaceFloriana Esposito, Donato Malerba, Giovanni Semeraro. 165-184
- Controlled Redundancy in Incremental Rule LearningLuís Torgo. 185-195
- Getting Order Independence in Incremental LearningAntoine Cornuéjols. 196-212
- Feature Selection Using Rough Sets TheoryMaciej Modrzejewski. 213-226
- Effective Learning in Dynamic Environments by Explicit Context TrackingGerhard Widmer, Miroslav Kubat. 227-243
- COBBIT - A Control Procedure for COBWEB in the Presence of Concept DriftFredrik Kilander, Carl Gustaf Jansson. 244-261
- Genetic Algorithms for Protein Tertiary Structure PredictionSteffen Schulze-Kremer. 262-279
- SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based ConceptsGilles Venturini. 280-296
- SAMIA: A Bottom-Up Learning Method Using a Simulated Annealing AlgorithmPierre Brézellec, Henry Soldano. 297-312
- Predicate Invention in ILP - an OverviewIrene Stahl. 313-322
- Funtional Inductive Logic Programming with Queries to the UserFrancesco Bergadano, Daniele Gunetti. 323-328
- A Note on Refinement OperatorsTim Niblett. 329-335
- An Iterative and Bottom-up Procedure for Proving-by-ExampleMasami Hagiya. 336-341
- Learnability of Constrained Logic ProgramsSaso Dzeroski, Stephen Muggleton, Stuart J. Russell. 342-347
- Complexity Dimensions and LearnabilityShan-Hwei Nienhuys-Cheng, Mark Polman. 348-353
- Can Complexity Theory Benefit from Learning Theory?Tibor Hegedüs. 354-359
- Learning Domain Theories using Abstract Beckground KnowledgePeter Clark, Stan Matwin. 360-365
- Discovering Patterns in EEG-Signals: Comparative Study of a Few MethodsMiroslav Kubat, Doris Flotzinger, Gert Pfurtscheller. 366-371
- Learning to Control Dynamic Systems with Automatic QuantizationCharles X. Ling, Ralph Buchal. 372-377
- Refinement of Rule Sets with JoJoDieter Fensel, Markus Wiese. 378-383
- Rule Combination in Inductive LearningLuís Torgo. 384-389
- Using Heuristics to Speed up Induction on Continuous-Valued AttributesGünter Seidelmann. 390-395
- Integrating Models of Knowledge and Machine LearningJean-Gabriel Ganascia, Jérôme Thomas, Philippe Laublet. 396-401
- Exploiting Context When Learning to ClassifyPeter D. Turney. 402-407
- IDDD: An Inductive, Domain Dependent Decision AlgorithmLena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis. 408-413
- An Application of Machine Learning in the Domain of Loan AnalysisJosé Luís Ferreira, Joaquim Correia, Thomas Jamet, Ernesto Costa. 414-419
- Extraction of Knowledge from Data Using Constrained Neural NetworksRaqui Kane, Irina Tchoumatchenko, Maurice Milgram. 420-425
- Integrated Learning ArchitecturesEnric Plaza, Agnar Aamodt, Ashwin Ram, Walter Van de Velde, Maarten van Someren. 429-441
- An Overview of Evolutionary ComputationWilliam M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis. 442-459
- ML Techniques and Text AnalysisPieter W. Adriaans. 460-469