期刊名称：Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
印刷版ISSN：1897-8649
电子版ISSN：2080-2145
出版年度：2006
卷号：27
页码：1-23
出版社：Industrial Research Inst. for Automation and Measurements, Warsaw
摘要：We develop a novel algorithm, called VIP*, for structured variational
approximate inference. This algorithm extends known algorithms to allow
efficient multiple potential updates for overlapping clusters, and overcomes the
difficulties imposed by deterministic constraints. The algorithm's convergence
is proven and its applicability demonstrated for genetic linkage analysis
