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

 

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Detalhes bibliográficos
Autores: Goddard Close, John, de los Cobos Silva, Sergio Gerardo, Pérez Salvador, Blanca Rosa, Gutiérrez Andrade, Miguel Ángel
Formato: artículo original
Estado:Versión publicada
Data de Publicação:2000
Descrição: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.
País:Portal de Revistas UCR
Recursos:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Idioma:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/183
Acesso em linha:https://revistas.ucr.ac.cr/index.php/matematica/article/view/183
Palavra-chave:Support vector Machines
ε−support vector regression
Máquinas de vector soporte
regresión ε-vector soporte