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

• Goddard Close, John ^[1] ; de los Cobos Silva, Sergio Gerardo ^[1] ; Pérez Salvador, Blanca Rosa ^[1] ; Gutiérrez Andrade, Miguel Ángel ^[1]
  1. [1] Universidad Autónoma Metropolitana

     Universidad Autónoma Metropolitana

     México

     
• Localización: Revista de Matemática: Teoría y Aplicaciones, ISSN 2215-3373, ISSN-e 2215-3373, Vol. 7, Nº. 1-2, 2000, págs. 107-116
• Idioma: español
• DOI: 10.15517/rmta.v7i1-2.183
• Enlaces
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• Dialnet Métricas: 2 Citas
• Resumen
  • español

    El propósito del presente artículo es doble. Primero se proporciona una introducción a las ideas básicas de la Máquinas de Vector Soporte para regresión. Posteriormente, se presenta un algoritmo novedoso y sencillo, basado en el trabajo de Campbell y Cristianini [16], que resuelve de manera fácil el correspondiente problema de programación cuadrática. Se ilustra el algoritmo con ejemplos, y se compara con el método de regresión clásico.Palabras clave: Máquinas de Vector Soporte, regresión , E-SN

  • English

    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.

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