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Lecture Notes in Artificial Intelligence

Algorithmic Learning Theory

9th International Conference, ALT’98, Otzenhausen, Germany, October 8–10, 1998 Proceedings

Editors: Richter, M.M., Smith, C.H., Wiehagen, R., Zeugmann, Th. (Eds.)

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Softcover 77,99 €
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About this book

This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ¨aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Table of contents (30 chapters)

Table of contents (30 chapters)
  • Editors’ Introduction

    Pages 1-10

    Richter, Michael M. (et al.)

  • Scalability Issues in Inductive Logic Programming

    Pages 11-30

    Wrobel, Stefan

  • Learning to Win Process-Control Games Watching Game-Masters

    Pages 31-45

    Case, John (et al.)

  • Closedness Properties in EX-Identification of Recursive Functions

    Pages 46-60

    ApsĪtis, Kalvis (et al.)

  • Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries

    Pages 61-71

    Shevchenko, Valery N. (et al.)

Buy this book

eBook 63,06 €
price for Spain (gross)
  • ISBN 978-3-540-49730-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 77,99 €
price for Spain (gross)
  • ISBN 978-3-540-65013-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Algorithmic Learning Theory
Book Subtitle
9th International Conference, ALT’98, Otzenhausen, Germany, October 8–10, 1998 Proceedings
Editors
  • Michael M. Richter
  • Carl H. Smith
  • Rolf Wiehagen
  • Thomas Zeugmann
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
1501
Copyright
1998
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-49730-1
DOI
10.1007/3-540-49730-7
Softcover ISBN
978-3-540-65013-3
Edition Number
1
Number of Pages
XI, 444
Number of Illustrations
1 b/w illustrations
Topics