| 贝叶斯网络结构学习的发展与展望 |
| |
| 引用本文： | 贺炜,潘泉,张洪才. 贝叶斯网络结构学习的发展与展望[J]. 信息与控制, 2004, 33(2): 185-190 |
| |
| 作者姓名： | 贺炜 潘泉 张洪才 |
| |
| 作者单位： | 西北工业大学自动控制系613信箱,陕西,西安,710072 |
| |
| 基金项目： | 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) |
| |
| 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,贝叶斯网络结构学习正在成为因果数据挖掘的主流.
|
| 关 键 词： | 概率贝叶斯网络 因果贝叶斯网络 贝叶斯网络结构学习 因果数据挖掘 |
| 文章编号： | 1002-0411(2004)02-0185-06 |
Development and Prospect of Bayesian Network Structure Learning |
| |
| HE Wei,PAN Quan,ZHANG Hong cai. Development and Prospect of Bayesian Network Structure Learning[J]. Information and Control, 2004, 33(2): 185-190 |
| |
| Authors: | HE Wei PAN Quan ZHANG Hong cai |
| |
| Abstract: | 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. |
| |
| Keywords: | probabilistic Bayesian network causal Bayesian network Bayesian network structure learning causal data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《信息与控制》浏览原始摘要信息 |
|
点击此处可从《信息与控制》下载全文 |
