使用进化规划学习贝叶斯网络的混合方法

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1004433

M. Wong, Shing Yan Lee, K. Leung

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引用次数: 4

摘要

报告了一种新的混合框架，改进了我们以前的工作，MDLEP，它使用进化编程来解决困难的贝叶斯网络学习问题。引入了一种新的合并算子，进一步提高了合并效率。实验结果表明，我们的混合方法的性能明显优于MDLEP。

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A hybrid approach to learn Bayesian networks using evolutionary programming

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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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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