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  • Conference proceedings
  • © 1994

Algorithmic Learning Theory

4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings

Conference proceedings info: AII 1994, ALT 1994.

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Table of contents (45 papers)

  1. Front Matter

  2. Deductive plan generation

    • Wolfgang Bibel, Michael Thielscher
    Pages 2-5
  3. Derived sets and inductive inference

    • Kalvis Apsītis
    Pages 26-39
  4. Therapy plan generation as program synthesis

    • Oksana Arnold, Klaus P. Jantke
    Pages 40-55
  5. A calculus for logical clustering

    • Shuo Bai
    Pages 56-63
  6. Learning with higher order additional information

    • Ganesh Baliga, John Case
    Pages 64-75
  7. Efficient learning of regular expressions from good examples

    • Alvis Brāzma, Kārlis Čerāns
    Pages 76-90
  8. Identifying nearly minimal Gödel numbers from additional information

    • Rūsiņš Freivalds, Ognian Botuscharov, Rolf Wiehagen
    Pages 91-99
  9. Co-learnability and FIN-identifiability of enumerable classes of total recursive functions

    • Rūsiņš Freivalds, Dace Gobleja, Marek Karpinski, Carl H. Smith
    Pages 100-105
  10. On case-based represent ability and learnability of languages

    • Christoph Globig, Steffen Lange
    Pages 106-120
  11. Rule-generating abduction for recursive prolog

    • Kouichi Hirata
    Pages 121-136
  12. Fuzzy analogy based reasoning and classification of fuzzy analogies

    • Toshihara Iwatani, Shunïchi Tano, Atsushi Inoue, Wataru Okamoto
    Pages 137-148
  13. Explanation-based reuse of prolog programs

    • Yasuyuki Koga, Eiju Hirowatari, Setsuo Arikawa
    Pages 149-160
  14. Constructive induction for recursive programs

    • Chowdhury Rahman Mofizur, Masayuki Numao
    Pages 161-175
  15. Training digraphs

    • Hsieh-Chang Tu, Carl H. Smith
    Pages 176-186
  16. Towards realistic theories of learning

    • Naoki Abe
    Pages 187-209

Other Volumes

  1. Algorithmic Learning Theory

About this book

This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.)
The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.

Bibliographic Information

  • Book Title: Algorithmic Learning Theory

  • Book Subtitle: 4th International Workshop on Analogical and Inductive Inference, AII '94, 5th International Workshop on Algorithmic Learning Theory, ALT '94, Reinhardsbrunn Castle, Germany, October 10 - 15, 1994. Proceedings

  • Editors: Setsuo Arikawa, Klaus P. Jantke

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-58520-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1994

  • Softcover ISBN: 978-3-540-58520-6Published: 28 September 1994

  • eBook ISBN: 978-3-540-49030-2Published: 01 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 581

  • Topics: Theory of Computation, Artificial Intelligence, Mathematical Logic and Formal Languages

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