Bayesian Networks and Decision Graphs

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Sprache: Englisch

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Beschreibung

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, also introduces Markov decision process. The new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network.

Zusammenfassung

Inhaltsverzeichnis

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

Details

Erscheinungsjahr:	2010
Fachbereich:	Botanik
Genre:	Biologie , Importe
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Information Science and Statistics
Inhalt:	xvi 447 S.
ISBN-13:	9781441923943
ISBN-10:	1441923942
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Nielsen, Thomas Dyhre Verner Jensen, Finn
Auflage:	Softcover reprint of hardcover 2nd edition 2007
Hersteller:	Springer Springer US, New York, N.Y. Information Science and Statistics
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 25 mm
Von/Mit:	Thomas Dyhre Nielsen (u. a.)
Erscheinungsdatum:	23.11.2010
Gewicht:	0,698 kg