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IEICE Trans

Keyword : Bayesian belief network

Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: Basic Properties
Joe SUZUKI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1999/10/25
Vol. E82-A  No. 10 ; pp. 2237-2245
Type of Manuscript:  PAPER
Category: Information Theory and Coding Theory
Keyword: 
minimum description length principle, Bayesian belief network, Chow and Liu algorithm, Cooper and Herskovits procedure, MDL-based procedure, stochastic rule learning, 
 Summary | Full Text:PDF
Learning Bayesian Belief Networks Based on the MDL Principle: An Efficient Algorithm Using the Branch and Bound Technique
Joe SUZUKI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1999/02/25
Vol. E82-D  No. 2 ; pp. 356-367
Type of Manuscript:  PAPER
Category: Algorithm and Computational Complexity
Keyword: 
Bayesian belief network, minimum description length principle, branch and bound technique, Cooper and Herskovits procedure, MDL-based procedure, K2, K3, 
 Summary | Full Text:PDF