19 of 20 people found the following review helpful:
4.0 out of 5 stars
A starting book for Bayesian Network (BN), May 16, 2000
By A Customer
This review is from: Introduction to Bayesian Networks (Hardcover)
This book serves a good introductory material BN. After introducing the basic definitions and concepts, the author quickly cover most practical methods on model building, evidence propagation, and use of BN in finding explanation and making decisions. Most methods can easily be incorporated into your own applications if you are ready to program. There are plenty of examples that make me understand rules and concepts fast. Occasionally I found notations and proofs are difficult to follow. For reader who haven't become excited about BN, I strongly recommend Pearl's two books "Probabilistic reasoning in intelligent systems" and "Causations", which will surely entertain researchers from computer science, AI and statistics.
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