Description: Bayesian Networks Handbook, Hardcover by Benson, Mick, ISBN 1632400758, ISBN-13 9781632400758, Brand New, Free shipping in the US A Bayesian network is also known as a Bayes network, belief network or causal probabilistic network. Bayesian belief networks are effective tools to incorporate different information sources with varying levels of uncertainty in a mathematically secure and calculatively effective way. A Bayesian network is a graphical model that ciphers probabilistic relationships among variables of interest. This graphical paradigm has a few significant advantages: firstly, due to the dependencies among all the variables, missing nodes data is also compensated; secondly, belief network sets up the simple relationships and it is easier to identify problematic areas and consequences; thirdly, it has both casual and probabilistic semantics; and lastly, this method along with statistical method provides efficient and balanced approach to avoid over fitting of data. This book analytically and comprehensively describes various aspects of Bayesian networks which will be of great help to students, researchers and professionals in various fields which utilize applications of this model system.
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Book Title: Bayesian Networks Handbook
Number of Pages: 126 Pages
Publication Name: Bayesian Networks Handbook
Language: English
Publisher: Clanrye International
Subject: Intelligence (Ai) & Semantics
Item Height: 0.4 in
Publication Year: 2015
Type: Textbook
Author: Mick Benson
Item Length: 9 in
Subject Area: Computers
Item Width: 6 in
Format: Hardcover
