Bayesian networks optimization based on induction learning techniques
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| Otros autores o Colaboradores: | , |
| Formato: | Capítulo de libro |
| Lengua: | inglés |
| Temas: | |
| Acceso en línea: | http://dx.doi.org/10.1007/978-0-387-09695-7_44 Consultar en el Cátalogo |
| Resumen: | Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learning method that optimizes the bayesian networks applied to classification, using a hybrid method of learning that combines the advantages of the induction techniques of the decision trees with those of the bayesian networks. |
| Notas: | Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) |
| Descripción Física: | 1 archivo (210,4 KB) |
| DOI: | 10.1007/978-0-387-09695-7_44 |