A Hybrid Approach to Learn Bayesian Networks Using Evolutionary Programming
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چکیده
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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تاریخ انتشار 2006