Inductive Logic Programming

1. Front Matter

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2. Attribute-value learning versus inductive logic programming: The missing links

   • Luc De Raedt

   Pages 1-8

3. Advances in ILP theory and implementations

   • Stephen Muggleton

   Pages 9-9

4. Application of ILP to problems in chemistry and biology

   • A. Srinivasan

   Pages 10-10

5. Relational reinforcement learning

   • Sašo Džeroski, Luc De Raedt, Hendrik Blockeel

   Pages 11-22

6. Learning first-order acyclic Horn programs from entailment

   • Chandra Reddy, Prasad Tadepalli

   Pages 23-37

7. Combining statistical and relational methods for learning in hypertext domains

   • Seán Slattery, Mark Craven

   Pages 38-52

8. Application of inductive logic programming to discover rules governing the three-dimensional topology of protein structure

   • Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

   Pages 53-64

9. Term comparisons in first-order similarity measures

   • Uta Bohnebeck, Tamás Horváth, Stefan Wrobel

   Pages 65-79

10. Stochastic propositionalization of non-determinate background knowledge

    • Stefan Kramer, Bernhard Pfahringer, Christoph Helma

    Pages 80-94

11. A stochastic simple similarity

    • Michèle Sebag

    Pages 95-105

12. Using prior probabilities and density estimation for relational classification

    • James Cussens

    Pages 106-115

13. Induction of Constraint Grammar-rules using Progol

    • Martin Eineborg, Nikolaj Lindberg

    Pages 116-124

14. A hybrid approach to word segmentation

    • Dimitar Kazakov, Suresh Manandhar

    Pages 125-134

15. Learning multilingual morphology with Clog

    • Suresh Manandhar, Sašo Džeroski, Tomaž Erjavec

    Pages 135-144

16. Using ILP-systems for verification and validation of multi-agent systems

    • Nico Jacobs, Kurt Driessens, Luc De Raedt

    Pages 145-154

17. Inducing shogi heuristics using inductive logic programming

    • Tomofumi Nakano, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh

    Pages 155-164

18. Repeat learning using predicate invention

    • Khalid Khan, Stephen Muggleton, Rupert Parson

    Pages 165-174

19. Normal programs and multiple predicate learning

    • Leonardo Fogel, Gerson Zaverucha

    Pages 175-184

20. Strongly typed inductive concept learning

    • P. A. Flach, C. Giraud-Carrier, J. W. Lloyd

    Pages 185-194

This book constitutes the refereed proceedings of the 8th International Conference on Inductive Logic Programming, ILP-98, held in Madison, Wisconsin, USA, in July 1998.
The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book. All relevant aspects of inductive logic programming are covered ranging from theory to implementations and applications.

• Algorithmic Learning
• Inductive Logic Programming
• Machine Learning
• Reinforcement Learning
• Statistical Learning
• classification
• heuristics
• learning
• logic
• multi-agent system
• programming
• verification

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