Learning Bayesian Classifiers from Dependency Network Classifiers

José A. Gámez; Juan L. Mateo; José M. Puerta

doi:10.1007/978-3-540-71618-1_90

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Learning Bayesian Classifiers from Dependency Network Classifiers

José A. Gámez Juan L. Mateo José M. Puerta

Year: 2007 Lecture notes in computer science Pages: 806-813 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-71618-1_90

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Keywords:

Computer science Bayesian network Artificial intelligence Machine learning Dependency (UML) Graphical model Scalability Bayesian probability Variable-order Bayesian network Classifier (UML) Probabilistic logic Bayesian inference

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Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Learning Bayesian Classifiers from Dependency Network Classifiers

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