How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis

Nicandro Cruz-Ramírez, Héctor-Gabriel Acosta-Mesa, Rocío-Erandi Barrientos-Martínez, Luis-Alonso Nava-Fernández. How Good Are the Bayesian Information Criterion and the Minimum Description Length Principle for Model Selection? A Bayesian Network Analysis. In Alexander F. Gelbukh, Carlos A. Reyes García, editors, MICAI 2006: Advances in Artificial Intelligence, 5th Mexican International Conference on Artificial Intelligence, Apizaco, Mexico, November 13-17, 2006, Proceedings. Volume 4293 of Lecture Notes in Computer Science, pages 494-504, Springer, 2006. [doi]

Abstract

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