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  • Conference proceedings
  • © 1999

Algorithmic Learning Theory

10th International Conference, ALT '99 Tokyo, Japan, December 6-8, 1999 Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1720)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ALT: International Conference on Algorithmic Learning Theory

Conference proceedings info: ALT 1999.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XI
  2. Regular Contributions

    1. Learning Dimension

      1. The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract)
        • José L. Balcázar, Jorge Castro, David Guijarro, Hans-Ulrich Simon
        Pages 77-92
      2. The VC-Dimension of Subclasses of Pattern Languages
        • Andrew Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan
        Pages 93-105
    2. Inductive Inference

      1. On the Strength of Incremental Learning
        • Steffen Lange, Gunter Grieser
        Pages 118-131
      2. Learning from Random Text
        • Peter Rossmanith
        Pages 132-144
      3. Inductive Learning with Corroboration
        • Phil Watson
        Pages 145-156
    3. Inductive Logic Programming

      1. Flattening and Implication
        • Kouichi Hirata
        Pages 157-168
      2. A Method of Similarity-Driven Knowledge Revision for Type Specializations
        • Nobuhiro Morita, Makoto Haraguchi, Yoshiaki Okubo
        Pages 194-205
    4. PAC Learning

      1. PAC Learning with Nasty Noise
        • Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
        Pages 206-218
      2. Positive and Unlabeled Examples Help Learning
        • Francesco De Comité, François Denis, Rémi Gilleron, Fabien Letouzey
        Pages 219-230

Other Volumes

  1. Algorithmic Learning Theory

Editors and Affiliations

  • Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Tokyo, Japan

    Osamu Watanabe

  • Waseda University, Tokyo, Japan

    Takashi Yokomori

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
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