A hybrid approach to learn Bayesian networks using evolutionary programming
Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002
IEEE Computer Society
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.
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Paper presented at the IEEE World Congress on Computational Intelligence (WCCI2002), May 12-17, 2002, Honolulu, Hawaii.
ISBN of the source publication: 9780780372825