INFERENCE OF CAUSAL RELATIONSHIPS USING GLOBAL CAUSAL DISCOVERY ALGORITHMS

摘要：

fMRl is used as an effective method to diagnose various disease and the relationships between various brain regions. In the field of neuro imaging, interactions among the brain regions or causal relationships are described in terms of effective connectivity. Global algorithm search in the context of large datasets and limited computational resources. The Global algorithm that achieved polynomial time execution if constraint on the variable distribution is enforced.

关键词： fMR1 Dynamic causal model causal relationships causal Bayesian network

作者: PROF.DR.M.S JOSHI MS.K.S.PRADHAN PROF.M.B.NAGORI

作者单位: Dept. of Computer Science,University of Dr, Bam Govt, Engineering College, Aurangabad, India Dept. of Computer Science,University of Dr, Bam Govt, Engineering College Dept. of Computer Science University of Dr, Bam Govt, Engineering College

会议类型: 国际会议

会议名称: 3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)

会议地点: 大连

会议语种:英文

页码: 573-578

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）