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Probabilistic Reasoning in Expert Systems: Theory and Algorithms

Richard E. Neapolitan




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 | #2798783 in Books |  1990-03-16 | Original language:English | PDF # 1 |  9.53 x1.02 x6.30l,1.10 | File type: PDF | 433 pages

||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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