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Learning in Graphical Models (Adaptive Computation and Machine Learning)

Learning in Graphical Models (Adaptive Computation and Machine Learning) 0.0分

资源最后更新于 2020-09-27 15:06:46

作者:Jordan, Michael I. 编

出版社:The MIT Press

出版日期:1998-01

ISBN:9780262600323

文件格式: pdf

标签: 机器学习 Graph-Model 图模型 learning Graphical 美國 统计学 機器學習

简介· · · · · ·

Graphical models, a marriage between probability theory and graph theory, provide a natural tool for dealing with two problems that occur throughout applied mathematics and engineering--uncertainty and complexity. In particular, they play an increasingly important role in the design and analysis of machine learning algorithms. Fundamental to the idea of a graphical model is the...

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