Introduction to Probabilistic Graphical Models

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博客围绕PGM概率图模型展开，主要介绍其入门相关内容，为读者初步了解该模型提供指引，属于信息技术领域知识。


PGM 概率图模型入门

【机器学习】An Introduction to the Probabilistic Graphical Mo
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作者：禅与计算机程序设计艺术 1.简介 概率图模型（Probabilistic Graphical Model，PGM）是一种构建机器学习模型和推断算法的框架。它将复杂系统建模成一组变量及其相互间的依赖关系，并通过图结构来表示这些变量之间的因果关系。PGM从统计角度提出了许多重要性质，如全概率公式、边缘
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Introduction to Probabilistic Graphical Models Lecture 1 – Mar 28, 2011 CSE 515, Statistical Methods, Spring 2011 Instructor: Su-In Lee University of Washington, Seattle
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概率图模型（Probabilistic Graphical Models, PGM）是一种在计算机科学、统计学及人工智能领域广泛应用的概率模型表示方法。它通过图形结构来表示变量间的依赖关系，并利用概率理论来量化这些依赖。本文将根据提供...
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一本很好的关于Graphic Model的书
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对图模型的发展及应用的几个主要方面进行了全面综述。
Probabilistic Graphical Model:
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Introduction to Topic Modeling learning(链)
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