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IFIP12
2008

Bayesian Networks Optimization Based on Induction Learning Techniques

9 years 22 days ago
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 combines the advantages of the induction techniques of the decision trees with those of the bayesian networks.
Paola Britos, Pablo Felgaer, Ramón Garc&iac
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where IFIP12
Authors Paola Britos, Pablo Felgaer, Ramón García-Martínez
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