[CEUR Workshop P roceedings] Vol-35

© 2000 for the individual papers by the papers' authors. Copying permitted for private and scientific purposes. Re-publication of material on this page requires permission by the copyright owners.

 
 

Inductive Logic Programming
10th International Conference, ILP 2000
Work-in-progress reports

London, July 2000.

Edited by

James Cussens 
Alan Frisch 
Both at Department of Computer Science, University of York, UK


Supported by

Table of Contents

  1. A Formal Framework for Theory Learning Using Description Logics

    2. Alvarez
  2. Learning Term Rewriting Systems from Entailment

    3. Arimura, Sakamoto and Arikawa
  3. A Higher-order Approach to Meta-learning

    4. Bensusan, Giraud-Carrier and Kennedy
  4. Two Advanced Transormations for Improving the Efficiency of an ILP system

    5. Blockeel, Demoen, Janssens, Vandecasteele and Van Laer
  5. A New Declarative Bias for ILP: Construction Modes

    6. Erdem and Flener
  6. Universal Learning of Classes from Sparse and Non-uniform Evidence

    7. Ferri-Ramirez, Hernandez-Orallo and Ramirez-Quintana
  7. Decomposing Probability Distributions on Structured Individuals

    8. Flach and Lachiche
  8. On the Completion of Inverse Entailment for Mutual Recursion and its Application to Self Recursion

    9. Furukawa and Ozaki
  9. A Topological Study of the Upward Refinement Operators in ILP

    10. Gutierrez-Naranjo, Alonso-Jimenez and Borrego-Diaz
  10. Bayesian Logic Programs

    11. Kersting and De Raedt
  11. Bottom-Up Propositionalization

    12. Kramer and Frank
  12. Using an ILP Algorithm to Learn Logic Programs for Reasoning about Actions

    13. Lorenzo and Otero
  13. Selective Inductive Logic Programming

    14. Maclaren
  14. A Proposal for Inductive Learning Agent Using First-Order Logic

    15. Matsui, Inuzuka and Seki
  15. Composition of Biasses of Inductive Logic Programming

    16. Moal and Vrain
  16. An Efficient Hypothesis Search Algorithm Based on Best-Bound Search

    17. Ohara, Babaguchi and Kitahashi
  17. Using Belief Networks to Neutralize Known Dependencies in Conceptual Clustering

    18. Ramon and Dehaspe
  18. Identification in the Limit and Constraint ILP

    19. Richard
  19. Learning First Order Logic Time Series Classifiers

    20. Rodriguez, Alonso and Bostrom
  20. ILP for Automated Telephony

    21. Zelezny, Miksovsky, Stepankova and Zidek
Submitted by James Cussens, 1 November 2000