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Multiple Classifier Systems

4th International Workshop, MCS 2003 Guildford, UK, June 11–13, 2003 Proceedings

  • Terry Windeatt
  • Fabio Roli
Conference proceedings MCS 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2709)

Table of contents

  1. Front Matter
    Pages I-X
  2. Invited Paper

    1. Mohamed S. Kamel, Nayer M. Wanas
      Pages 1-14
  3. Boosting

    1. Nikunj C. Oza
      Pages 15-24
    2. J. Arenas-García, A. R. Figueiras-Vidal, A. J. C. Sharkey
      Pages 45-54
  4. Combination Rules

  5. Multi-class Methods

  6. Fusion Schemes Architectures

    1. Elizabeth Tapia, José Carlos González, Javier García-Villalba
      Pages 156-165
    2. Michael Lewitt, Robi Polikar
      Pages 176-185
    3. V. Estruch, C. Ferri, J. Hernández-Orallo, M. J. Ramírez-Quintana
      Pages 206-216
  7. Neural Network Ensembles

    1. Shimon Cohen, Nathan Intrator
      Pages 227-235
    2. Khurshid Ahmad, Matthew Casey, Bogdan Vrusias, Panagiotis Saragiotis
      Pages 236-245
    3. R. O. V. Santos, M. M. B. R. Vellasco, F. A. V. Artola, S. A. B. da Fontoura
      Pages 246-255
  8. Ensemble Strategies

    1. Terry Windeatt, R. Ghaderi, G. Ardeshir
      Pages 276-285
    2. Stefan W. Christensen
      Pages 286-295
    3. H. Zouari, L. Heutte, Y. Lecourtier, A. Alimi
      Pages 296-305
    4. Robert E. Banfield, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer
      Pages 306-316
    5. Sofie Verbaeten, Anneleen Van Assche
      Pages 317-325
  9. Applications

  10. Back Matter
    Pages 405-406

About these proceedings

Introduction

 

This book constitutes the refereed proceedings of the 4th International Workshop on Multiple Classifier Systems, MCS 2003, held in Guildford, UK in June 2003.

The 40 revised full papers presented with one invited paper were carefully reviewed and selected for presentation. The papers are organized in topical sections on boosting, combination rules, multi-class methods, fusion schemes and architectures, neural network ensembles, ensemble strategies, and applications

Keywords

Performance algorithmic learning algorithms classification classifier systems cognition document analysis image analysis learning machine learning multiple classifier systems neural networks proving statistical learning time series analysis

Editors and affiliations

  • Terry Windeatt
    • 1
  • Fabio Roli
    • 2
  1. 1.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyGuildford, SurreyUK
  2. 2.Dept. of Electrical and Electronic EngineeringUniversity of CagliariCagliariItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-44938-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40369-2
  • Online ISBN 978-3-540-44938-6
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site