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  • Conference proceedings
  • © 2002

Discovery Science

5th International Conference, DS 2002, Lubeck, Germany, November 24-26, 2002, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2534)

Conference series link(s): DS: International Conference on Discovery Science

Conference proceedings info: DS 2002.

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Table of contents (49 papers)

  1. Front Matter

    Pages I-XIII
  2. Invited Talks

    1. Mathematics Based on Learning

      • Susumu Hayashi
      Pages 1-1
    2. Data Mining with Graphical Models

      • Rudolf Kruse, Christian Borgelt
      Pages 2-11
    3. On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum

      • John Shawe-Taylor, Chris Williams, Nello Cristianini, Jaz Kandola
      Pages 12-12
  3. Regular Papers

    1. Application of Discovery to Natural Science

      1. Discovery in Hydrating Plaster Using Machine Learning Methods
        • Judith E. Devaney, John G. Hagedorn
        Pages 47-58
      2. Revising Qualitative Models of Gene Regulation
        • Kazumi Saito, Stephen Bay, Pat Langley
        Pages 59-70
    2. Knowledge Discovery from Unstructured and Semi-structured Data

      1. SEuS: Structure Extraction Using Summaries
        • Shayan Ghazizadeh, Sudarshan S. Chawathe
        Pages 71-85
      2. Discovering Best Variable-Length-Don’t-Care Patterns
        • Shunsuke Inenaga, Hideo Bannai, Ayumi Shinohara, Masayuki Takeda, Setsuo Arikawa
        Pages 86-97
    3. Meta-learning and Analysis of Machine Learning Algorithms

      1. Experiments with Projection Learning
        • Tapio Elomaa, J.T. Lindgren
        Pages 127-140
      2. Improved Dataset Characterisation for Meta-learning
        • Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
        Pages 141-152
    4. Combining Machine Learning Algorithms

      1. Racing Committees for Large Datasets
        • Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall
        Pages 153-164
      2. From Ensemble Methods to Comprehensible Models
        • C. Ferri, J. Hernández-Orallo, M. J. Ramírez-Quintana
        Pages 165-177
    5. Neural Networks and Statistical Methods

Other Volumes

  1. Discovery Science

Editors and Affiliations

  • Deutsches Forschungszentrum für Künstliche Intelligenz, Saarbrücken, Germany

    Steffen Lange

  • National Institute of Informatics, Tokyo, Japan

    Ken Satoh

  • Department of Computer Science, University of Maryland, Maryland, USA

    Carl H. Smith

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