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  • Conference proceedings
  • © 1991

Machine Learning - EWSL-91

European Working Session on Learning, Porto, Portugal, March 6-8, 1991. Proceedings

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 482)

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

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Table of contents (45 papers)

  1. Front Matter

  2. Abstracting background knowledge for concept learning

    • A. Giordana, D. Roverso, L. Saitta
    Pages 1-13
  3. The replication problem: A constructive induction approach

    • Der-Shung Yang, Gunnar Blix, Larry A. Rendell
    Pages 44-61
  4. Evaluating and changing representation in concept acquisition

    • F. Bergadano, F. Esposito, C. Rouveirol, S. Wrobel
    Pages 89-100
  5. Application of empirical discovery in knowledge acquisition

    • Jan M. Å»ytkow, Jieming Zhu
    Pages 101-117
  6. Using accuracy in scientific discovery

    • M. Moulet
    Pages 118-136
  7. KBG : A generator of knowledge bases

    • Gilles Bisson
    Pages 137-137
  8. On estimating probabilities in tree pruning

    • Bojan Cestnik, Ivan Bratko
    Pages 138-150
  9. Rule induction with CN2: Some recent improvements

    • Peter Clark, Robin Boswell
    Pages 151-163
  10. A method for inductive cost optimization

    • Floor Verdenius
    Pages 179-191
  11. Semi-naive bayesian classifier

    • Igor Kononenko
    Pages 206-219
  12. Description contrasting in incremental concept formation

    • Christine Decaestecker
    Pages 220-233
  13. System FLORA: Learning from time-varying training sets

    • Miroslav Kubat, Jirina Pavlickova
    Pages 234-234

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access