Using evolutionary programming and minimum description length principle for data mining of Bayesian networks
Man Leung Wong, Wai Pang Lam, Kwong‐Sak Leung · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1999
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.