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....
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2000 |
| País: | Costa Rica |
| 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 |
| Access Level: | acceso abierto |
| Palavra-chave: | Support vector Machines ε−support vector regression Máquinas de vector soporte regresión ε-vector soporte |
| Resumo: | 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. |
|---|