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Books Books 1 - 10 of about 11 related to Bayesian Networks and Decision Graphs.   

Bayesian Networks and Decision Graphs

Thomas Dyhre Nielsen, FINN VERNER JENSEN - Mathematics - 2013 - 268 pages
Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their ...
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff, Anders L. Madsen - Computers - 2012 - 382 pages
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis, Second Edition, provides a comprehensive guide for practitioners who wish to understand ...
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Advances in Bayesian Networks

José A. Gámez, Serafin Moral, Antonio Salmerón Cerdan - Mathematics - 2013 - 328 pages
In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as ...
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Probabilistic Graphical Models: Principles and Applications

Luis Enrique Sucar - Computers - 2015 - 253 pages
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for ...
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Probabilistic Networks and Expert Systems: Exact Computational Methods for ...

Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter - Computers - 2007 - 324 pages
Winner of the 2002 DeGroot Prize. Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while ...
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Learning in Graphical Models

M.I. Jordan - Computers - 1998 - 630 pages
In the past decade, a number of different research communities within the computational sciences have studied learning in networks, starting from a number of different points ...
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Bayesian Artificial Intelligence, Second Edition

Kevin B. Korb, Ann E. Nicholson - Business & Economics - 2010 - 491 pages
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of ...
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Graphical Models: Representations for Learning, Reasoning and Data Mining

Christian Borgelt, Matthias Steinbrecher, Professor Dr Rudolf R Kruse - Mathematics - 2009 - 404 pages
Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning ...
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Innovations in Bayesian Networks: Theory and Applications

Dawn E. Holmes - Mathematics - 2008 - 322 pages
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together ...
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