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Inductive Logic Programming

11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001. Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Céline Rouveirol

    1. Université Paris Sud, LRI, Orsay, France

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  2. Michéle Sebag

    1. Ecole Polytechnique, LMS, Palaiseau, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2157)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (21 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. A Refinement Operator for Theories

    • Liviu Badea
    Pages 1-14

  3. Learning Logic Programs with Neural Networks

    • Rodrigo Basilio, Gerson Zaverucha, Valmir C. Barbosa
    Pages 15-26

  4. A Genetic Algorithm for Propositionalization

    • Agnès Braud, Christel Vrain
    Pages 27-40

  5. Classifying Uncovered Examples by Rule Stretching

    • Martin Eineborg, Henrik Boström
    Pages 41-50

  6. Relational Learning Using Constrained Confidence-Rated Boosting

    • Susanne Hoche, Stefan Wrobel
    Pages 51-64

  7. Induction, Abduction, and Consequence-Finding

    • Katsumi Inoue
    Pages 65-79

  8. From Shell Logs to Shell Scripts

    • Nico Jacobs, Hendrik Blockeel
    Pages 80-90

  9. An Automated ILP Server in the Field of Bioinformatics

    • Andreas Karwath, Ross D. King
    Pages 91-103

  10. Adaptive Bayesian Logic Programs

    • Kristian Kersting, Luc De Raedt
    Pages 104-117

  11. Towards Combining Inductive Logic Programming with Bayesian Networks

    • Kristian Kersting, Luc De Raedt
    Pages 118-131

  12. Demand-Driven Construction of Structural Features in ILP

    • Stefan Kramer
    Pages 132-141

  13. Transformation-Based Learning Using Multirelational Aggregation

    • Mark-A. Krogel, Stefan Wrobel
    Pages 142-155

  14. Discovering Associations between Spatial Objects: An ILP Application

    • Donato Malerba, Francesca A. Lisi
    Pages 156-163

  15. θ-Subsumption in a Constraint Satisfaction Perspective

    • Jérôme Maloberti, Michèle Sebag
    Pages 164-178

  16. Learning to Parse from a Treebank: Combining TBL and ILP

    • Miloslav Nepil
    Pages 179-192

  17. Induction of Stable Models

    • Ramón P. Otero
    Pages 193-205

  18. Application of Pruning Techniques for Propositional Learning to Progol

    • Tomonobu Ozaki, Koichi Furukawa
    Pages 206-219

  19. Application of ILP to Cardiac Arrhythmia Characterization for Chronicle Recognition

    • René Quiniou, Marie-Odile Cordier, Guy Carrault, Feng Wang
    Pages 220-227

  20. Efficient Cross-Validation in ILP

    • Jan Struyf, Hendrik Blockeel
    Pages 228-239
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Keywords

Editors and Affiliations

  • Université Paris Sud, LRI, Orsay, France

    Céline Rouveirol

  • Ecole Polytechnique, LMS, Palaiseau, France

    Michéle Sebag

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