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Super-node Normalized Belief Propagation For Probabilistic Systems

*Abstract: Researchers at the University of California, Berkeley have developed an improved method of modeling probabilistic systems, in particular such systems using belief progagation in a Markov network.

*Principal Investigation: Name: WILLIAM FREEMAN
Department:

Name: YAIR WEISS
Department:

Name: JONATHAN YEDIDIA
Department:

附加资料: Patent Number: US6745157B1
Application Number: US2000586281A
Inventor: Weiss, Yair | Freeman, William T. | Yedidia, Jonathan S.
Priority Date: 2 Jun 2000
Priority Number: US6745157B1
Application Date: 2 Jun 2000
Publication Date: 1 Jun 2004
IPC Current: G06F001718 | G06F001710 | H04L001224
US Class: 703002 | 703013 | 706014 | 706015 | 706022 | 706045
Assignee Applicant: Mitsubishi Electric Research Laboratories Incmbridge
Title: Super-node normalized belief propagation for probabilistic systems
Usefulness: Super-node normalized belief propagation for probabilistic systems
Summary: For approximation of both marginal probabilities and MAP states in Markov networks.
Novelty: Probability system modeling for Markov networks uses message passing within loops and finds states at each node which maximizes approximation over the entire network

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