Bayesian networks and decision graphs
著者
書誌事項
Bayesian networks and decision graphs
（Information science and statistics / series editors M. Jordan ... [et al.]）
Springer, c2007
2nd ed
- : pbk
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注記
Includes bibliographical references and index
"February 8, 2007"
内容説明・目次
内容説明
This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.
目次
Causal and Bayesian Networks * Part I: A Practical Guide to Normative Systems: Building Models * Learning, Adaptation, and Tuning * Decision Graphs * Part II: Algorithms for Normative Systems: Belief Updating in Bayesian Networks * Bayesian Network Analysis Tools * Algorithms for Influence Diagrams
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