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贝叶斯网络结构学习方法新探
引用本文:赵越,茹婷婷.贝叶斯网络结构学习方法新探[J].长春大学学报,2011(6):32-34.
作者姓名:赵越  茹婷婷
作者单位:吉林建筑工程学院计算机科学与工程学院;吉林建筑工程学院基础科学部;
基金项目:吉林省教育厅“十一五”科学技术研究项目(吉教科合字2010第314号)
摘    要:从大型数据库中学习网络结构一直是贝叶斯网络学习的研究热点.针对此问题提出了一种基于预测能力的学习算法,通过预测能力建立并调整贝叶斯网络结构,把变量之间弧的存在性与方向有机地结合在一起。

关 键 词:贝叶斯网络  结构学习  预测能力

Research on structure learning of Bayesian network
ZHAO Yuea,RU Ting-tingb.Research on structure learning of Bayesian network[J].Journal of Changchun University,2011(6):32-34.
Authors:ZHAO Yuea  RU Ting-tingb
Institution:ZHAO Yuea,RU Ting-tingb(a.School of Computer Science and Technology,b.Department of Basic Science,Jilin Institute of Architecture and Civil Engineering,Changchun 130118,China)
Abstract:Learning structure from large database has been a research focus of learning Bayesian Network.A learning algorithm is presented based on prediction ability,and through which Bayesian network structure is built and adjusted.The existence and direction of arcs among variables are combined organically.
Keywords:Bayesian Network  structure learning  prediction ability  
本文献已被 CNKI 维普 等数据库收录!
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