首页>
外国专利>
Systems and methods for tractable variational approximation for inference in decision-graph bayesian networks
Systems and methods for tractable variational approximation for inference in decision-graph bayesian networks
展开▼
机译:决策图贝叶斯网络中用于推理的易处理变分近似的系统和方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
The present invention leverages approximations of distributions to provide tractable variational approximations, based on at least one continuous variable, for inference utilization in Bayesian networks where local distributions are decision-graphs. These tractable approximations are employed in lieu of exact inferences that are normally NP-hard to solve. By utilizing Jensen's inequality applied to logarithmic distributions composed of a generalized sum including an introduced arbitrary conditional distribution, a means is acquired to resolve a tightly bound likelihood distribution. The means includes application of Mean-Field Theory, approximations of conditional probability distributions, and/or other means that allow for a tractable variational approximation to be achieved.
展开▼