Abstract is missing.
- Inductive Logic Programming for Natural Language ProcessingRaymond J. Mooney. 3-22
- An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic ProgrammingStephen Muggleton, David Page, Ashwin Srinivasan. 25-40
- Applying ILP to Diterpene Structure Elucidation from :::13:::C NMR SpectraSaso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck. 41-54
- Analysis and Prediction of Piano Performances Using Inductive Logic ProgrammingErika Van Baelen, Luc De Raedt. 55-71
- Noise Detection and Elimination Applied to Noise Handling in a KRK Chess EndgameDragan Gamberger, Nada Lavrac. 72-88
- Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity by Structural AttributesAshwin Srinivasan, Ross D. King. 89-104
- Polynomial-Time Learning in Logic Programming and Constraint Logic ProgrammingMichèle Sebag, Céline Rouveirol. 105-126
- Analyzing and Learning ECG WaveformsGabriella Kókai, Zoltán Alexin, Tibor Gyimóthy. 127-145
- Learning Rules That Classify Ocular Fundus Images for Glaucoma DiagnosisFumio Mizoguchi, Hayato Ohwada, Makiki Daidoji, Shiroteru Shirato. 146-159
- A New Design and Implementation of Progol by Bottom-Up ComputationHiroshi Fujita, Naoki Yagi, Tomonobu Ozaki, Koichi Furukawa. 163-174
- Inductive Logic Program Synthesis with DIALOGSPierre Flener. 175-198
- Relational Knowledge Discovery in DatabasesHendrik Blockeel, Luc De Raedt. 199-211
- Efficient Theta-Subsumption Based on Graph AlgorithmsTobias Scheffer, Ralf Herbrich, Fritz Wysotzki. 212-228
- Integrity Constraints in ILP Using a Monte Carlo ApproachAlípio Jorge, Pavel Brazdil. 229-244
- Restructuring Chain Datalog Programs (Preliminary Report)Anke D. Rieger. 245-264
- Tow-down Induction of Logic Programs from Incomplete SamplesNobuhiro Inuzuka, Masakage Kamo, Naohiro Ishii, Hirohisa Seki, Hidenori Itoh. 265-282
- Least Generalizations under ImplicationShan-Hwei Nienhuys-Cheng, Ronald de Wolf. 285-298
- Efficient Proof EncodingUros Pompe. 299-314
- Learning Logic Programs with Random Classification NoiseTamás Horváth, Robert H. Sloan, György Turán. 315-336
- Handling Quantifiers in ILPM.-Elisabeth Goncalves. 337-357
- Learning from Positive DataStephen Muggleton. 358-376
- Lambda-Subsumption and Its Application to Learning from Positive-only ExamplesZdravko Markov. 377-396