Description: Bayesian Networks : A Practical Guide to Applications, Hardcover by Pourret, Olivier (EDT); Naim, Patrick (EDT); Marcot, Bruce (EDT), ISBN 0470060301, ISBN-13 9780470060308, Like New Used, Free shipping in the US The term "Bayesian" has become endemic in any field that requires analysis, simulation, prediction, diagnosis or virtually any other range of study that combines elements of artificial intelligence with statistics. The editors and contributors take the wide range of applications in mind as they give researchers and practitioners a solid enough introduction to the concepts behind Bayesian networks to solve practical problems. The provide 20 real life case studies in medicine, computing, natural sciences, engineering and other fields (including such topics as terrorism risk management and improving human cognition), describe the strengths and weaknesses of Bayesian networks in each, and compare their performance to such modeling techniques as neural networks, fuzzy logic and fault trees. They also offer comparisons of commercially available software packages, full citations and avenues of future research. This works well as a comprehensive self-study guide as well as a classroom text. Annotation ©2008 Book News, Inc., Portland, OR ()
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Book Title: Bayesian Networks : A Practical Guide to Applications
Number of Pages: 446 Pages
Publication Name: Bayesian Networks : a Practical Guide to Applications
Language: English
Publisher: Wiley & Sons, Incorporated, John
Subject: Probability & Statistics / General, Probability & Statistics / Bayesian Analysis
Item Height: 1.1 in
Publication Year: 2008
Type: Textbook
Item Weight: 27.4 Oz
Subject Area: Mathematics
Item Length: 9.2 in
Author: Patrick Na¿M
Item Width: 6.3 in
Series: Statistics in Practice Ser.
Format: Hardcover
