Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7668| Title: | Using evolutionary programming and minimum description length principle for data mining of bayesian networks |
| Authors: | Wong, Man Leung Lam, Wai Prof. LEUNG Kwong Sak |
| Issue Date: | 1999 |
| Source: | IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999, Vol. 21 (2), pp. 174 - 178 |
| Journal: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 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. |
| Type: | Peer Reviewed Journal Article |
| URI: | http://hdl.handle.net/20.500.11861/7668 |
| ISSN: | 01628828 |
| DOI: | 10.1109/34.748825 |
| Appears in Collections: | Applied Data Science - Publication |
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