Skip to main content
SpringerLink
Log in

Algorithmic Learning Theory

11th International Conference, ALT 2000 Sydney, Australia, December 11-13, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Hiroki Arimura

    1. Department of Informatics, Kyushu University, Fukuoka, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Sanjay Jain

    1. School of Computing, National University of Singapore, Singapore, Singapore

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Arun Sharma

    1. School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1968)

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  3. REGULAR CONTRIBUTIONS

    1. Statistical Learning

      1. Towards an Algorithmic Statistics
        • Peter Gács, John Tromp, Paul Vitányi
        Pages 41-55
      2. Minimum Message Length Grouping of Ordered Data
        • Leigh J. Fitzgibbon, Lloyd Allison, David L. Dowe
        Pages 56-70
      3. Learning From Positive and Unlabeled Examples
        • Fabien Letouzey, François Denis, Rémi Gilleron
        Pages 71-85

    2. Inductive Inference

      1. Learning Erasing Pattern Languages with Queries
        • Jochen Nessel, Steffen Lange
        Pages 86-100
      2. Learning Recursive Concepts with Anomalies
        • Gunter Grieser, Steffen Lange, Thomas Zeugmann
        Pages 101-115
      3. Identification of Function Distinguishable Languages
        • Henning Fernau
        Pages 116-130
      4. A Probabilistic Identification Result
        • Eric McCreath
        Pages 131-141

    3. ILP

      1. A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System
        • Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura
        Pages 141-155
      2. Hypotheses Finding via Residue Hypotheses with the Resolution Principle
        • Akihiro Yamamoto, Bertram Fronhöfer
        Pages 156-165
      3. Conceptual Classifications Guided by a Concept Hierarchy
        • Yuhsuke Itoh, Makoto Haraguchi
        Pages 166-178
      4. Learning Taxonomic Relation by Case-based Reasoning
        • Ken Satoh
        Pages 179-193

    5. Neural Network and Other Paradigms

      1. Dynamic Hand Gesture Recognition Based On Randomized Self-Organizing Map Algorithm
        • Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta, Makoto Amamiy
        Pages 252-263
Back to top

Keywords

Editors and Affiliations

  • Department of Informatics, Kyushu University, Fukuoka, Japan

    Hiroki Arimura

  • School of Computing, National University of Singapore, Singapore, Singapore

    Sanjay Jain

  • School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

    Arun Sharma

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation