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  • Conference proceedings
  • © 2005

Algorithmic Learning Theory

16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3734)

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 2005.

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Table of contents (36 papers)

  1. Front Matter

  2. Editors’ Introduction

    1. Editors’ Introduction

      • Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita
      Pages 1-9
  3. Invited Papers

    1. Invention and Artificial Intelligence

      • Gary Bradshaw
      Pages 10-10
    2. The Arrowsmith Project: 2005 Status Report

      • Neil R. Smalheiser
      Pages 11-11
    3. The Robot Scientist Project

      • Ross D. King
      Pages 12-12
    4. Training Support Vector Machines via SMO-Type Decomposition Methods

      • Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin
      Pages 45-62
  4. Kernel-Based Learning

    1. Regular Contributions

      1. Measuring Statistical Dependence with Hilbert-Schmidt Norms
        • Arthur Gretton, Olivier Bousquet, Alex Smola, Bernhard Schölkopf
        Pages 63-77
    2. Bayesian and Statistical Models

      1. Learning Causal Structures Based on Markov Equivalence Class
        • Yang-Bo He, Zhi Geng, Xun Liang
        Pages 92-106
    3. PAC-Learning

      1. Learnability of Probabilistic Automata via Oracles
        • Omri Guttman, S. V. N. Vishwanathan, Robert C. Williamson
        Pages 171-182
    4. Query-Learning

      1. Learning Attribute-Efficiently with Corrupt Oracles
        • Rotem Bennet, Nader H. Bshouty
        Pages 183-197
      2. Learning of Elementary Formal Systems with Two Clauses Using Queries
        • Hirotaka Kato, Satoshi Matsumoto, Tetsuhiro Miyahara
        Pages 211-225
      3. Gold-Style and Query Learning Under Various Constraints on the Target Class
        • Sanjay Jain, Steffen Lange, Sandra Zilles
        Pages 226-240

Other Volumes

  1. Algorithmic Learning Theory

Editors and Affiliations

  • School of Computing, National University of Singapore, Singapore

    Sanjay Jain

  • Ruhr-Universität Bochum, Germany

    Hans Ulrich Simon

  • Department of Information and Communication Engineering, Faculty of Electro-Communications, The University of Electro-Communications, Tokyo, Japan

    Etsuji Tomita

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