Bayesian Network Technologies

Applications and Graphical Models

By: Ankush Mittal (Editor), Ashraf Kassim (Editor)

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Hardcover | 31 March 2007

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Hardcover
370 Pages

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25.4 x 18.42 x 1.91

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Bayesian networks are now being used in a variety of artificial intelligence applications. These networks are high-level representations of probability distributions over a set of variables that are used for building a model of the problem domain. ""Bayesian Network Technologies: Applications and Graphical Models"" provides an excellent and well-balanced collection of areas where Bayesian networks have been successfully applied. This book describes the underlying concepts of Bayesian Networks in an interesting manner with the help of diverse applications, and theories that prove Bayesian networks valid. ""Bayesian Network Technologies: Applications and Graphical Models"" provides specific examples of how Bayesian networks are powerful machine learning tools critical in solving real-life problems.

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Non-Fiction Reference, Information & Interdisciplinary Subjects Research & Information Decision Theory Mathematics Probability & Statistics Computing & I.T.Computer Science Artificial Intelligence Computer Networking & Communications

A novel discriminative naive Bayesian network for classification	p. 1
A Bayesian belief network approach for modeling complex domains	p. 13
Data mining of Bayesian network structure using a semantic genetic algorithm-based approach	p. 42
NetCube : fast, approximate database queries using Bayesian networks	p. 54
Applications of Bayesian networks in reliability analysis	p. 84
Application of Bayesian modeling to management information systems : a latent scores approach	p. 103
Bayesian networks for image understanding	p. 128
Long term tracking of pedestrians with groups and occlusions	p. 151
DBN models for visual tracking and prediction	p. 176
Multimodal human localization using Bayesian network sensor fusion	p. 194
Retrieval of bio-geophysical parameters from remotely sensing data by using Bayesian methodology	p. 222
Application of Bayesian network in drug discovery and development process	p. 254
Bayesian network approach to estimate gene networks	p. 269
Bayesian network modeling of transcription factor binding sites : a tutorial	p. 300
Application of Bayesian network in learning gene network	p. 319
Table of Contents provided by Blackwell. All Rights Reserved.

Bayesian Network Technologies

Applications and Graphical Models

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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