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| #533372 in Books | 2003-04-06 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 9.10 x1.30 x7.00l,2.60 | File type: PDF | 674 pages||0 of 0 people found the following review helpful.| Five Stars|By Dr. Charles Saunders|The best intro to Bayesian Networks that you can get. Superb.|0 of 0 people found the following review helpful.| Five Stars|By Mohammed M. A. Younis|If you have no idea of BN then this is where to start, if your work involves BN reasoning|66 of 74 people found the following review helpful.||From the Back Cover|| Learning Bayesian Networks offers the first accessible and unified text on the study and application of Bayesian networks. This book serves as a key textbook or reference for anyone with an interest in probabilistic modeling in the f
In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision th...
You can specify the type of files you want, for your gadget.Learning Bayesian Networks | Richard E. Neapolitan. I was recommended this book by a dear friend of mine.
