TY  - GEN
T1  - Bayesian networks optimization based on induction learning techniques
A1  - Britos, Paola Verónica
A2  - Felgaer, Pablo
A2  - García Martinez, Ramón
LA  - English
UL  - http://vufind10-pruebas.sigbunlp.bibliotecas.unlp.edu.ar/Record/dif.55722
AB  - 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.
NO  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
KW  - RED BAYESIANA
KW  - APRENDIZAJE AUTOMÁTICO
KW  - ÁRBOLES
KW  - MINERÍA DE DATOS
ER  -