Bayesian networks optimization based on induction learning techniques

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 combine...

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Detalles Bibliográficos
Autores principales: Britos, Paola Verónica, Felgaer, Pablo, García Martínez, Ramón
Formato: Articulo
Lenguaje:Inglés
Publicado: 2008
Materias:
Educación
Ciencias Informáticas
mutual information
Bayesian networks
predictive capacity
structural learning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/83464
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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