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第1行： + + − + + − '''图模型'''或'''概率图模型(PGM)'''或'''结构化概率模型'''是一种用图表示随机变量之间条件依赖结构的概率模型。它们通常用于概率论、统计学（尤其是贝叶斯统计学）和机器学习。+ + +
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{{More footnotes|date=Oct 2020}}
{{More footnotes|date=May 2017}}
A '''graphical model''' or '''probabilistic graphical model''' ('''PGM''') or '''structured probabilistic model''' is a [[probabilistic model]] for which a [[Graph (discrete mathematics)|graph]] expresses the [[conditional dependence]] structure between [[random variable]]s. They are commonly used in [[probability theory]], [[statistics]]—particularly [[Bayesian statistics]]—and [[machine learning]].
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.
图模型或概率图模型(PGM)或结构化概率模型是一种用图表示随机变量之间条件依赖结构的概率模型。它们通常用于概率论、统计学---- 尤其是贝叶斯统计学---- 和机器学习。