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Machine Learning - EWSL-91

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

  • Conference proceedings
  • © 1991

Overview

Editors:
  1. Yves Kodratoff
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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

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  2. Abstracting background knowledge for concept learning

    • A. Giordana, D. Roverso, L. Saitta
    Pages 1-13

  3. A multistrategy learning approach to domain modeling and knowledge acquisition

    • Gheorghe Tecuci
    Pages 14-32

  4. Using plausible explanations to bias empirical generalization in weak theory domains

    • Gerhard Widmer
    Pages 33-43

  5. The replication problem: A constructive induction approach

    • Der-Shung Yang, Gunnar Blix, Larry A. Rendell
    Pages 44-61

  6. Integrating an explanation-based learning mechanism into a general problem-solver

    • F. Zerr, J. G. Ganascia
    Pages 62-80

  7. Analytical negative generalization and empirical negative generalization are not cumulative: A case study

    • C. Carpineto
    Pages 81-88

  8. Evaluating and changing representation in concept acquisition

    • F. Bergadano, F. Esposito, C. Rouveirol, S. Wrobel
    Pages 89-100

  9. Application of empirical discovery in knowledge acquisition

    • Jan M. Å»ytkow, Jieming Zhu
    Pages 101-117

  10. Using accuracy in scientific discovery

    • M. Moulet
    Pages 118-136

  11. KBG : A generator of knowledge bases

    • Gilles Bisson
    Pages 137-137

  12. On estimating probabilities in tree pruning

    • Bojan Cestnik, Ivan Bratko
    Pages 138-150

  13. Rule induction with CN2: Some recent improvements

    • Peter Clark, Robin Boswell
    Pages 151-163

  14. On changing continuous attributes into ordered discrete attributes

    • J. Catlett
    Pages 164-178

  15. A method for inductive cost optimization

    • Floor Verdenius
    Pages 179-191

  16. When does overfitting decrease prediction accuracy in induced decision trees and rule sets?

    • Cullen Schaffer
    Pages 192-205

  17. Semi-naive bayesian classifier

    • Igor Kononenko
    Pages 206-219

  18. Description contrasting in incremental concept formation

    • Christine Decaestecker
    Pages 220-233

  19. System FLORA: Learning from time-varying training sets

    • Miroslav Kubat, Jirina Pavlickova
    Pages 234-234

  20. Message-based bucket brigade: An algorithm for the apportionment of credit problem

    • Marco Dorigo
    Pages 235-244
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Keywords

Bibliographic Information

  • Book Title: Machine Learning - EWSL-91

  • Book Subtitle: European Working Session on Learning, Porto, Portugal, March 6-8, 1991. Proceedings

  • Editors: Yves Kodratoff

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0016999

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1991

  • Softcover ISBN: 978-3-540-53816-5Published: 20 February 1991

  • eBook ISBN: 978-3-540-46308-5Published: 23 November 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 541

  • Topics: Artificial Intelligence, Software Engineering

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