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基于小生境遗传算法的贝叶斯网络结构学习算法研究 被引量：5

Research on Structure Learning Algorithm of Bayesian Networks Based on Niche Genetic Algorithm
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摘要 在数据缺失的情况下讨论一种贝叶斯网络的结构学习算法。该算法结合了小生境遗传算法和EM算法,最后通过试验说明了该算法的有效性。 This paper researched a learning algorithm of bayesian networks in incomplete data which algorithm combined niche genetic algorithm with EM algorithm. Then the experiment shows the algorithm is valid.
作者 黄浩 宋瀚涛 陆玉昌
机构地区 对外经济贸易大学信息学院 北京理工大学计算机科学技术学院 清华大学计算机科学与技术系
出处 《计算机应用研究》 CSCD 北大核心 2007年第4期100-103,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(79990580)
关键词 贝叶斯网络 结构学习 小生境遗传算法 期望最大化算法 Bayesian networks structure learning niche genetic algorithm EM algorithm
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献12

  • 1COOPER G F, HERSKOVITS E. A bayesian method for the induction of probabilistic networks from data [ J]. Machine Learning,1992,9(4) :309-347.
  • 2HECKERMAN D. A tutorial on learning bayesian network, MSR-TR95-06[ S]. [ S. 1. ]: Microsoft Research, 1995.
  • 3LAM W, BACCHUS F. Learning bayesian belief networks: an approach based on the MDL principle [ J ]. Computational Intelligence, 1994,10(4) :269-293.
  • 4FRIEDMAN N. The bayesian structural EM algorithm: the 14th Conference On Uncertainty in Artificial Intelligence [ C ]. San Mateo:Morgan Kaufmann, 1998:80-89.
  • 5FRIEDMAN N. Learning belief networks in the presence of missing values and hidden variables: proceedings of the 14th International Conference on Machine Learning[ C]. Nashville: Morgan Kaufmann,1997: 125-133.
  • 6GEIGER D, MEEK C. Graphical models and exponential families:the 14th Conference on Uncertainty in Artificial Intelligence[ C ]. San Mateo: Morgan Kaufmann, 1998 : 156-164.
  • 7SETrIMI R, SMITH J Q. On the geometry of bayesian graphical models with hidden variables: the 14th International Joint Con-ference on Artificial Intelligence[ C ]. San Francisco: Morgan Kaufmann, 1998 :472-479.
  • 8LARRANAGA P, POZA M. Structure learning of bayesian networks by genetic algorithms: a performance analysis of control parameters[ J ]. IEEE Journal on Pattern Analysis and Machine Intelligence, 1996,18(9) :912-926.
  • 9MYERS J W, LASKEY K B, DEJONG K A. Learning bayesian networks from incomplete data using evolutionary algorithms: the Genetic and Evolutionary Computation Conference[ C]. San Mateo: Morgan Kaufmann, 1999:458-465.
  • 10MYERS J W, LASKEY K B, LEVITT T S. Learning bayesian networks from incomplete data with stochastic search algorithms: the Uncertainty in Artificial Intelligence[ C]. San Francisco: Morgan Kaufmann Publishers, 1999:476- 485.

二级参考文献8

共引文献205

同被引文献49

引证文献5

二级引证文献16

计算机应用研究
2007年 第4期

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