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Belief Propagation: Message-passing method, Algorithm, Graphical model, Bayesian network, Markov random field, Marginal distribution, Artificial intelligence, Low-density parity-check code, Turbo code -

English
2026-03-15
€179.62 €224.53

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Belief propagation is a message passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It is an inherently Bayesian procedure, which calculates the marginal distribution for each unobserved node, conditional on any observed nodes. Belief propagation is commonly used in artificial intelligence and information theory and has demonstrated empirical s ... Full description

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Description

Belief propagation is a message passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It is an inherently Bayesian procedure, which calculates the marginal distribution for each unobserved node, conditional on any observed nodes. Belief propagation is commonly used in artificial intelligence and information theory and has demonstrated empirical success in numerous applications including low-density parity-check codes, turbo codes, free energy approximation, and satisfiability.

More Information

Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786130677589
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€179.62 €224.53