[1]王双成,李小琳,侯彩虹.用于因果分析的混合贝叶斯网络结构学习[J].智能系统学报,2007,2(6):82-90.
 WANG Shuang-cheng,LI Xiao-lin,HOU Cai-hong.Learning in a hybrid Bayesian network structure for causal analysis[J].CAAI Transactions on Intelligent Systems,2007,2(6):82-90.
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用于因果分析的混合贝叶斯网络结构学习

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相似文献/References:
[1]花黄伟,杨春燕.基于因果分析的事元蕴含系及其应用[J].智能系统学报,2017,12(1):60.[doi:10.11992/tis.201610012]
 HUA Huangwei,YANG Chunyan.Affair-elements implication system andits application based on causal analysis[J].CAAI Transactions on Intelligent Systems,2017,12():60.[doi:10.11992/tis.201610012]

备注/Memo

收稿日期:2007-01-04.
基金项目:
国家自然科学基金资助项目(60675036);
上海市重点学科基金资助项目(P1601);
上海市教委重点基金资助项目(05zz66).
作者简介:
 王双成,男,1958年生,教授,博士,主要研究方向为人工智能、机器学习和数据挖掘及其在风险管理中的应用,先后承担国家自然科学基金“面向智能信息处理的贝叶斯网络关键理论与方法研究”和“面向风险管理的贝叶斯网络与集成研究”等课题,发表学术论文 40 余篇. E-mail: wangsc@lixin.edu.cn.
李小琳,女,1978年生,讲师,博士,主要研究方向为机器学习和数据挖掘,先后参与国家自然科学基金2项,发表学术论文16篇. E-mail: lixl_126@126.com.
侯彩虹,女,1978年生,讲师,博士,主要研究方向是智能控制和数据挖掘,先后参与国家自然科学基金2项,发表学术论文12篇.E-mail: dhuhch@mail.dhu.edu.cn.

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