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Probabilistic Reasoning in Expert Systems: Theory and Algorithms

Richard E. Neapolitan




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 | #1108067 in Books |  1990-03-16 | Original language:English | PDF # 1 |  9.53 x1.02 x6.30l,1.10 | File type: PDF | 433 pages

||0 of 1 people found the following review helpful.| so fast, receive it next day .|By Elliot Palmer|best service. my family , Cheap yet works perfectly. The product arrived on time and was well packaged. My wife has been baking some wonderful loaves of artisan-type rye, white and whole wheat breads. They are very crusty, and we had experienced some difficulty finding a product that could handle the crust. This product worked ext|From the Publisher|Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores techniques for solving multimembership classification problems not based directly on causal

Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores techniques for solving multimembership classification problems not based directly on causal networks, and offers practical recommendations, matching specific methods with sample expert systems.



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