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概率图模型及其推理技术的研究现状 被引量：1

Survey on probability graph model and its reasoning technology
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摘要 概率图模型是概率论和图论的结合,他们提供了一个天然工具,来解决应用数学和工程学上的不确定性和复杂性问题。文中对三种典型的概率图模型及其推理算法进行讨论,从理论和技术两个方面总结近几年概率图模型在人工智能、生命科学、计算机视觉、社会网络分析等领域的主要研究成果,同时指出仍面临的主要难题:如何建立合理的概率图模型,如何基于已有概率图模型进行高效地推理。 Graphical models are a marriage between probability theory and graph theory. They provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering- uncertainty and complexity. This paper discusses on three kinds of probabilistic graphical model, summarizes the main research results in the field of artificial intelligence, life science, computer vision and social network analysis in the recent years. It pointed out the main challenge, how to establish an appropriate probabilistic graphical model, how to efficiently reason on a probabilistic graphical model.
作者 张岩
机构地区 河海大学计算机与信息学院
出处 《信息技术》 2013年第5期91-93,共3页 Information Technology
关键词 概率图模型 贝叶斯 马尔可夫 因子图 推理 应用 probability graphic model Bayesian Markov Factor graph inference application
分类号 TP181 [自动化与计算机技术—控制理论与控制工程]
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参考文献11

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共引文献4

同被引文献11

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信息技术
2013年 第5期

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