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Table of contents

  1. Front Matter
  2. Takashi Yokomori
    Pages 37-52
  3. José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe
    Pages 53-62
  4. Kimihito Ito, Akihiro Yamamoto
    Pages 63-74
  5. Ryotaro Kamimura
    Pages 111-122
  6. Yasuhito Mukouchi
    Pages 123-134
  7. Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara
    Pages 135-146
  8. Shyam Kapur
    Pages 147-158
  9. Yoshiaki Okubo, Makoto Haraguchi
    Pages 183-194
  10. Yoshifumi Sakai, Akira Maruoka
    Pages 195-207
  11. Tatsuya Akutsu, Atsuhiro Takasu
    Pages 229-239
  12. Hiroshi Mamitsuka, Kenji Yamanishi
    Pages 240-251
  13. Ken-ichiro Kakihara, Hiroshi Imai
    Pages 252-259
  14. Back Matter

About these proceedings

Introduction

This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October 1992. In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since 1990 and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.

Keywords

Artificial intelligence algorithm algorithms intelligence learning learning theory logical reasoning

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-57369-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-57369-2
  • Online ISBN 978-3-540-48093-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site