[PDF.00il] Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

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

[PDF.sx44] Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Morgan Kaufmann Series in Representation and Reasoning)

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 | #528187 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

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||10 of 10 people found the following review helpful.| only 8 reviews so far?|By King Yin Yan|Of course, this book is a classic, and the low number of reviews is only because it was published in the 80s.

This book has revolutionized the field of AI, and made Bayesian networks ubiquitous in computer science today (though, BNs were first proposed in 1970 by Suppes or perhaps even earlier).

[ Interestingly, Sup|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.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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