[PDF.39tc] Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

[PDF.rq70] Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

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 | #1995862 in Books |  2016-03-24 | Original language:English |  9.25 x.40 x7.52l,.74 | File type: PDF | 190 pages

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||About the Author|Luc De Raedt, KU Leuven, Belgium. Kristian Kersting Technical University of Dortmund, Germany. Sriraam Natarajan, Indiana University, USA. David Poole, University of British Columbia, Canada.

An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundat...

You easily download any file type for your device.Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)   |  Luc De Raedt, Kristian Kersting, Sriraam Natarajan. I was recommended this book by a dear friend of mine.

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