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Reasoning with probabilistic and deterministic graphical models. Exact algorithms. (English) Zbl 1297.68006
Synthesis Lectures on Artificial Intelligence and Machine Learning 23. San Rafael, CA: Morgan & Claypool Publishers (ISBN 978-1-62705-197-2/pbk; 978-1-62705-198-9/ebook). xiv, 177 p. (2013).
The book presents a comprehensive coverage of the primary exact algorithms for reasoning with graphical models, such as Bayesian and constraint networks, influence diagrams, Markov decision processes. Throughout the book, inference-based, message-passing schemes, and search-based, and conditioning schemes are presented. The book targets mainly an audience composed of researchers and students in artificial intelligence and machine learning.

MSC:
68-02 Research exposition (monographs, survey articles) pertaining to computer science
62-09 Graphical methods in statistics (MSC2010)
68T05 Learning and adaptive systems in artificial intelligence
68T10 Pattern recognition, speech recognition
68R10 Graph theory (including graph drawing) in computer science
62H30 Classification and discrimination; cluster analysis (statistical aspects)
68T30 Knowledge representation
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