Revista de Matemática: Teoría y Aplicaciones (Feb 2009)

Un algoritmo para el entrenamiento de máquinas de vector soporte para regresión

  • John Goddard Close,
  • Sergio Gerardo de los Cobos Silva,
  • Blanca Rosa Pérez Salvador,
  • Miguel Ángel Gutiérrez Andrade

DOI
https://doi.org/10.15517/rmta.v7i1-2.183
Journal volume & issue
Vol. 7, no. 1-2
pp. 107 – 116

Abstract

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The aim of the present paper is twofold. Firstly an introduction to the ideas of Support Vector regression is given. then a new and simple algorithm, suggested by the work of Campbell y Cristianini in [16], is proposed which solves the corresponding quadratic programming problem in an easy fashion. The algorithm is illustrated by example and compared with classical regression. Keywords: Support vector Machines, E-Support Vector regression.