Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks

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Man Leung Wong, Wai Lam, Kwong-Sak Leung

Published: 1999, Last Modified: 14 Jan 2026IEEE Trans. Pattern Anal. Mach. Intell. 1999EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We have developed a new approach to learning Bayesian network structures based on the minimum description length (MDL) principle and evolutionary programming. It employs a MDL metric, which is founded on information theory, and integrates a knowledge-guided genetic operator for the optimization in the search process.