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

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....

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Autores Principales: Goddard Close, John, de los Cobos Silva, Sergio Gerardo, Pérez Salvador, Blanca Rosa, Gutiérrez Andrade, Miguel Ángel
Formato: Artículo
Idioma: Español
Publicado: 2015
Acceso en línea: http://revistas.ucr.ac.cr/index.php/matematica/article/view/183
http://hdl.handle.net/10669/12821
Sumario: 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.