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Functional Networks and Analysis of Variance for Feature Selection

  • Noelia Sánchez-Maroño
  • María Caamaño-Fernández
  • Enrique Castillo
  • Amparo Alonso-Betanzos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

In this paper a method for feature selection based on analysis of variance and using functional networks as induction algorithm is presented. It follows a backward selection search, but several features are discarded in the same step. The method proposed is compared with two SVM based methods, obtaining a smaller set of features with a similar accuracy.

Keywords

Support Vector Machine Feature Selection Mean Square Error Feature Selection Method Functional Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Noelia Sánchez-Maroño
    • 1
  • María Caamaño-Fernández
    • 1
  • Enrique Castillo
    • 2
  • Amparo Alonso-Betanzos
    • 1
  1. 1.Department of Computer ScienceUniversity of A CoruñaA CoruñaSpain
  2. 2.Department of Applied Mathematics and Computer ScienceUniversity of CantabriaSantanderSpain

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