[PDF.91ym] Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)

[PDF.rv17] Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)

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 | #320190 in Books |  Morgan Kaufmann Pub |  1988-08 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.75 x6.50 x1.00l, | File type: PDF | 552 pages

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||3 of 4 people found the following review helpful.| Tough, but insightful|By William Meyers|I purchased this book because of my interest in artificial intelligence. It is the classic on probabilistic reasoning. It was a tough read for me, likely because I had forgotten much of what I knew about probability, and tend to think in terms of Newtonian cause and effect. Also it was not directly related to neural network models, which

Textbook offers an accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. For graduate-level courses in AI, operations research, and applied probability. Annotation copyright Book News, Inc. Portland, Or.

You easily download any file type for your device.Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning)   |  Judea Pearl. Which are the reasons I like to read books. Great story by a great author.

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