Abstract
Original language | English |
---|---|
Title of host publication | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 |
Publisher | IEEE Computer Society |
Pages | 1314-1319 |
Number of pages | 6 |
Volume | 2 |
ISBN (Print) | 9780780372825 |
DOIs | |
Publication status | Published - 1 Jan 2002 |
Fingerprint
Bibliographical note
Paper presented at the IEEE World Congress on Computational Intelligence (WCCI2002), May 12-17, 2002, Honolulu, Hawaii. ISBN of the source publication: 9780780372825Cite this
}
A hybrid approach to learn Bayesian networks using evolutionary programming. / WONG, Man Leung; LEE, Shing Yan; LEUNG, Kwong Sak.
Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002. Vol. 2 IEEE Computer Society, 2002. p. 1314-1319.Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review
TY - GEN
T1 - A hybrid approach to learn Bayesian networks using evolutionary programming
AU - WONG, Man Leung
AU - LEE, Shing Yan
AU - LEUNG, Kwong Sak
N1 - Paper presented at the IEEE World Congress on Computational Intelligence (WCCI2002), May 12-17, 2002, Honolulu, Hawaii. ISBN of the source publication: 9780780372825
PY - 2002/1/1
Y1 - 2002/1/1
N2 - 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.
AB - 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.
UR - http://commons.ln.edu.hk/sw_master/6858
U2 - 10.1109/CEC.2002.1004433
DO - 10.1109/CEC.2002.1004433
M3 - Conference paper (refereed)
SN - 9780780372825
VL - 2
SP - 1314
EP - 1319
BT - Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
PB - IEEE Computer Society
ER -