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Minimum Error Entropy Classification

  • Joaquim P. Marques de Sá
  • Luís M.A. Silva
  • Jorge M.F. Santos
  • Luís A. Alexandre

Part of the Studies in Computational Intelligence book series (SCI, volume 420)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 1-11
  3. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 13-39
  4. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 41-91
  5. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 93-120
  6. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 121-137
  7. Joaquim P. Marques de Sá, Luís M. A. Silva, Jorge M. F. Santos, Luís A. Alexandre
    Pages 139-213
  8. Back Matter
    Pages 215-259

About this book

Introduction

This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.

Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

Keywords

Computational Intelligence Information Theoretic Learning Minimum Error Entropy Classification

Authors and affiliations

  • Joaquim P. Marques de Sá
    • 1
  • Luís M.A. Silva
    • 2
  • Jorge M.F. Santos
    • 3
  • Luís A. Alexandre
    • 4
  1. 1.Divisão de Sinal e Imagem Campus FEUPINEB-Instituto de Engenharia Biomédica Divisão de Sinal e Imagem Campus FEUPPortoPortugal
  2. 2.Campus Universitário de SantiagoUniversidade de Aveiro Departamento de MatemáticaAveiroPortugal
  3. 3.Dept. of MathematicsISEP, School of Engineering Polytechnic of PortoPortoPortugal
  4. 4.Departamento de InformáticaUniversidade da Beira InteriorCovilhãPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-29029-9
  • Copyright Information Springer Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-29028-2
  • Online ISBN 978-3-642-29029-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site