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

Judea Pearl




[PDF.gq08] Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

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 | #516420 in Books |  1988-09-15 |  1988-09-01 | Original language:English | PDF # 1 |  9.00 x1.30 x6.00l,1.66 | File type: PDF | 552 pages

 | Probabilistic Reasoning in Intelligent Systems

||30 of 34 people found the following review helpful.| Fantastic!!!|By Paul D. Tozour|This book is an absolutely essential book for AI programming. I've found no better book for explaining the recent advances in probability theory and its relevance to real-life, practical artificial intelligence development. It's written in a very down-to-earth and highly entertaining style with plenty of examples.
I've been looking for a|From the Back Cover||Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explicat

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
You can specify the type of files you want, for your device.Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)   |  Judea Pearl. I was recommended this book by a dear friend of mine.

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