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: | Publication |
Find@HKSYU Show full item record
SCOPUSTM
Citations
86
checked on Jan 3, 2024
Page view(s)
13
checked on Jan 3, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.