Advertisement

© 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

  • Editors
  • Setsuo Arikawa
  • Klaus P. Jantke
Conference proceedings AII 1994, ALT 1994

Part of the Lecture Notes in Computer Science book series (LNCS, volume 872)

Table of contents

  1. Front Matter
  2. Wolfgang Bibel, Michael Thielscher
    Pages 2-5
  3. Kalvis Apsītis
    Pages 26-39
  4. Oksana Arnold, Klaus P. Jantke
    Pages 40-55
  5. Shuo Bai
    Pages 56-63
  6. Ganesh Baliga, John Case
    Pages 64-75
  7. Alvis Brāzma, Kārlis Čerāns
    Pages 76-90
  8. Rūsiņš Freivalds, Ognian Botuscharov, Rolf Wiehagen
    Pages 91-99
  9. Rūsiņš Freivalds, Dace Gobleja, Marek Karpinski, Carl H. Smith
    Pages 100-105
  10. Christoph Globig, Steffen Lange
    Pages 106-120
  11. Kouichi Hirata
    Pages 121-136
  12. Toshihara Iwatani, Shunïchi Tano, Atsushi Inoue, Wataru Okamoto
    Pages 137-148
  13. Yasuyuki Koga, Eiju Hirowatari, Setsuo Arikawa
    Pages 149-160
  14. Chowdhury Rahman Mofizur, Masayuki Numao
    Pages 161-175
  15. Hsieh-Chang Tu, Carl H. Smith
    Pages 176-186
  16. Naoki Abe
    Pages 187-209

About these proceedings

Introduction

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.

Keywords

algorithmic learning theory algorithms case-based reasoning formal language learning learning theory logic machine learning

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
  • Series Abbreviated Title Lect Notes Comput Sci
  • DOI https://doi.org/10.1007/3-540-58520-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1994
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-540-58520-6
  • eBook ISBN 978-3-540-49030-2
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XV, 581
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Theory of Computation
    Artificial Intelligence
    Mathematical Logic and Formal Languages
  • Buy this book on publisher's site
Industry Sectors
Automotive
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Engineering
Finance, Business & Banking
Electronics