DocumentCode
1634859
Title
A hybrid approach to learn Bayesian networks using evolutionary programming
Author
Wong, Man Leung ; Lee, Shing Yan ; Leung, Kwong Sak
Author_Institution
Dept. of Inf. Syst., Lingnan Univ., Tuen Mun, China
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1314
Lastpage
1319
Abstract
A novel hybrid framework is reported that improves upon our previous work, MDLEP, which uses evolutionary programming to solve the difficult Bayesian network learning problem. A new merge operator is also introduced that further enhances the efficiency. As experimental results suggest, our hybrid approach performs significantly better than MDLEP
Keywords
belief networks; evolutionary computation; learning (artificial intelligence); merging; uncertainty handling; Bayesian networks; MDLEP; evolutionary programming; experimental results; hybrid framework; learning; merge operator; uncertainty; Artificial intelligence; Bayesian methods; Computer science; Genetic programming; Information systems; Learning; Random variables; Search problems; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004433
Filename
1004433
Link To Document