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Using evolutionary programming and minimum description length principle for data mining of bayesian networks
Author(s)
Date Issued
1999
ISSN
01628828
Citation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, Vol. 21 (2), pp. 174 - 178
Type
Peer Reviewed Journal Article
Abstract
We have developed a new approach (MDLEP) to learning Bayesian network structures based on the Minimum Description Length (MDL) principle and Evolutionary Programming (EP). 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. ©1999 IEEE.
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