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Multiple Classifier Systems

First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Josef Kittler

    1. University of Surrey Fac. Engineering & Physical Sciences, Guildford, United Kingdom

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  2. Fabio Roli

    1. Elettronica, Università di Cagliari Dipto. Ingegneria Elettrica e, Cagliari, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1857)

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Table of contents (38 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Ensemble Methods in Machine Learning

    • Thomas G. Dietterich
    Pages 1-15

  3. Experiments with Classifier Combining Rules

    • Robert P. W. Duin, David M. J. Tax
    Pages 16-29

  4. The “Test and Select” Approach to Ensemble Combination

    • Amanda J. C. Sharkey, Noel E. Sharkey, Uwe Gerecke, G. O. Chandroth
    Pages 30-44

  5. A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR

    • Sargur Srihari
    Pages 45-51

  6. Multiple Classifier Combination Methodologies for Different Output Levels

    • Ching Y. Suen, Louisa Lam
    Pages 52-66

  7. A Mathematically Rigorous Foundation for Supervised Learning

    • Eugene M. Kleinberg
    Pages 67-76

  8. Classifier Combinations: Implementations and Theoretical Issues

    • Louisa Lam
    Pages 77-86

  9. Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification

    • Wenxin Jiang
    Pages 87-96

  10. Complexity of Classification Problems and Comparative Advantages of Combined Classifiers

    • Tin Kam Ho
    Pages 97-106

  11. Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems

    • Francesco Masulli, Giorgio Valentini
    Pages 107-116

  12. Combining Fisher Linear Discriminants for Dissimilarity Representations

    • Elżbieta Pękalska, Marina Skurichina, Robert P. W. Duin
    Pages 117-126

  13. A Learning Method of Feature Selection for Rough Classification

    • Katsuhiko Takahashi, Atsushi Sato
    Pages 127-136

  14. Analysis of a Fusion Method for Combining Marginal Classifiers

    • Mark D. Happel, Peter Bock
    Pages 137-146

  15. A hybrid projection based and radial basis function architecture

    • Shimon Cohen, Nathan Intrator
    Pages 147-156

  16. Combining Multiple Classifiers in Probabilistic Neural Networks

    • Jiří Grim, Josef Kittler, Pavel Pudil, Petr Somol
    Pages 157-166

  17. Supervised Classifier Combination through Generalized Additive Multi-model

    • Claudio Conversano, Roberta Siciliano, Francesco Mola
    Pages 167-176

  18. Dynamic Classifier Selection

    • Giorgio Giacinto, Fabio Roli
    Pages 177-189

  19. Boosting in Linear Discriminant Analysis

    • Marina Skurichina, Robert P. W. Duin
    Pages 190-199

  20. Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination

    • Patrice Latinne, Olivier Debeir, Christine Decaestecker
    Pages 200-209
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Keywords

Editors and Affiliations

  • University of Surrey Fac. Engineering & Physical Sciences, Guildford, United Kingdom

    Josef Kittler

  • Elettronica, Università di Cagliari Dipto. Ingegneria Elettrica e, Cagliari, Italy

    Fabio Roli

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