Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7648
Title: | A hybrid approach to learn Bayesian networks using evolutionary programming |
Authors: | Wong, Man Leung Lee, Shing Yan Prof. LEUNG Kwong Sak |
Issue Date: | 2002 |
Publisher: | IEEE Computer Society |
Source: | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, 2002, vol. 2, pp. 1314 - 1319, Article number 1004433 |
Journal: | Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 |
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. © 2002 IEEE. |
Type: | Conference Paper |
URI: | http://hdl.handle.net/20.500.11861/7648 |
ISBN: | 0780372824 978-078037282-5 |
DOI: | 10.1109/CEC.2002.1004433 |
Appears in Collections: | Publication |
Find@HKSYU Show full item record
SCOPUSTM
Citations
7
checked on Jan 3, 2024
Page view(s)
11
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.