Table of contents

  1. Front Matter
  2. Stephen Muggleton, David Page, Ashwin Srinivasan
    Pages 23-40
  3. Sašo Džeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck
    Pages 41-54
  4. Gabriella Kókai, Zoltán Alexin, Tibor Gyimóthy
    Pages 127-145
  5. Fumio Mizoguchi, Hayato Ohwada, Makiko Daidoji, Shiroteru Shirato
    Pages 146-159
  6. Hiroshi Fujita, Naoki Yagi, Tomonobu Ozaki, Koichi Furukawa
    Pages 161-174
  7. Hendrik Blockeel, Luc De Raedt
    Pages 199-211
  8. Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
    Pages 212-228
  9. Alípio Jorge, Pavel B. Brazdil
    Pages 229-244
  10. Anke Rieger
    Pages 245-264
  11. Nobuhiro Inuzuka, Masakage Kamo, Naohiro Ishii, Hirohisa Seki, Hidenori Itoh
    Pages 265-282
  12. Shan-Hwei Nienhuys-Cheng, Ronald de Wolf
    Pages 283-298
  13. Uroš Pompe
    Pages 299-314
  14. Tamás Horváth, Robert H. Sloan, György Turán
    Pages 315-336

About these proceedings


This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996.
The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.


inductive learning inductive logic programming learning logic machine learning natural language processing programming strategic learning

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