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11. ILP 2001: Strasbourg, France
- Céline Rouveirol, Michèle Sebag:
Inductive Logic Programming, 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001, Proceedings. Lecture Notes in Computer Science 2157, Springer 2001, ISBN 3-540-42538-1 - Liviu Badea:
A Refinement Operator for Theories. 1-14 - Rodrigo Basilio, Gerson Zaverucha, Valmir Carneiro Barbosa
:
Learning Logic Programs with Neural Networks. 15-26 - Agnès Braud, Christel Vrain:
A Genetic Algorithm for Propositionalization. 27-40 - Martin Eineborg, Henrik Boström:
Classifying Uncovered Examples by Rule Stretching. 41-50 - Susanne Hoche, Stefan Wrobel:
Relational Learning Using Constrained Confidence-Rated Boosting. 51-64 - Katsumi Inoue:
Induction, Abduction, and Consequence-Finding. 65-79 - Nico Jacobs, Hendrik Blockeel
From Shell Logs to Shell Scripts. 80-90 - Andreas Karwath
An Automated ILP Server in the Field of Bioinformatics. 91-103 - Kristian Kersting, Luc De Raedt
Adaptive Bayesian Logic Programs. 104-117 - Kristian Kersting, Luc De Raedt
Towards Combining Inductive Logic Programming with Bayesian Networks. 118-131 - Stefan Kramer:
Demand-Driven Construction of Structural Features in ILP. 132-141 - Mark-A. Krogel, Stefan Wrobel:
Transformation-Based Learning Using Multirelational Aggregation. 142-155 - Donato Malerba, Francesca A. Lisi:
Discovering Associations between Spatial Objects: An ILP Application. 156-163 - Jérôme Maloberti, Michèle Sebag:
Theta-Subsumption in a Constraint Satisfaction Perspective. 164-178 - Miloslav Nepil:
Learning to Parse from a Treebank: Combining TBL and ILP. 179-192 - Ramón P. Otero:
Induction of Stable Models. 193-205 - Tomonobu Ozaki, Koichi Furukawa:
Application of Pruning Techniques for Propositional Learning to Progol. 206-219 - Rene Quiniou, Marie-Odile Cordier, Guy Carrault, Feng Wang:
Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition. 220-227 - Jan Struyf, Hendrik Blockeel
Efficient Cross-Validation in ILP. 228-239 - Akihiro Yamamoto, Kimihito Ito
Modelling Semi-structured Documents with Hedges for Deduction and Induction. 240-247 - Filip Zelezný:
Learning Functions from Imperfect Positive Data. 248-260
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