摘要
从最初的概率贝叶斯网络构建阶段到涌现大量研究成果的因果贝叶斯网络结构学习阶段 ,本文完整地回顾了贝叶斯网络结构学习的整个发展历程 ,并对该领域当前存在的问题及相关研究进行分析论述 ,给出了研究展望 .值得一提的是 。
From the initial stage of probabilistic Bayesian network construction to the flourishing stage of causal Bayesian network structure learning, this paper firstly reviews Bayesian network structure learning. Then its current problems, related researches and prospects are discussed. It is worth of pointing out that the research of Bayesian network structure learning is becoming the mainstream in the field of causal data mining.
出处
《信息与控制》
CSCD
北大核心
2004年第2期185-190,共6页
Information and Control
基金
国家自然科学基金资助项目 (60 172 0 3 7)
教育部"跨世纪优秀人才培养计划"基金资助项目 (教技函 [2001] 1号)
关键词
贝叶斯网络
结构学习
信念网络
概率分布函数
probabilistic Bayesian network
causal Bayesian network
Bayesian network structure learning
causal data mining
