Reasoning with probabilistic and deterministic graphical models : exact algorithms /

Reasoning with probabilistic and deterministic graphical models : exact algorithms /

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Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning task...

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Bibliographic Details
Main Author: Dechter, Rina, 1950- (Author)
Format: Book
Language:English
Published: San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, 2013
[San Rafael, California] : Morgan & Claypool Publishers, [2013]
Series:Synthesis digital library of engineering and computer science
Synthesis lectures on artificial intelligence and machine learning ; # 23
Synthesis lectures on artificial intelligence and machine learning ; #23
Subjects:
Algorithms
Bayesian statistical decision theory > Graphic methods
Bayesian statistical decision theory
Graphical modeling (Statistics)
Machine learning
Probabilities
Reasoning
AND/OR search
Bayesian networks
Markov networks
bucket-elimination
conditioning
constraint networks
cycle-cutset
graphical models
induced-width
inference
knowledge representation
loop-cutset
pseudo-tree
reasoning
treewidth
variable-elimination
Electronic books

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Stanford University

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