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Probability theory / Networks / Statistical models / Probability and statistics / Mathematics / Belief propagation / Markov random field / Bayesian network / Probabilistic logic / Graphical models / Statistics / Bayesian statistics


Cooperative Multi-Agent Inference over Grid Structured Markov Random Fields Ryan K. Williams and Gaurav S. Sukhatme Abstract— In this work we investigate cooperative inference in multi-agent systems where uncertainty i
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Document Date: 2013-06-01 19:27:52


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Santa Cruz / /

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Cambridge University Press / MIT Press / MultiAgent Systems / Multi-Agent Systems / Intel / /

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University of Southern California / /

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loopy belief propagation algorithm / approximate algorithms / inference algorithm / inference algorithms / clique tree message passing algorithm / proposed inference algorithms / safety-critical systems / hypertree-based inference algorithm / probabilistic networks / approximate inference algorithm / /

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Cambridge University / USC Viterbi School of Engineering / National Science Foundation / MIT / University of Southern California / Los Angeles / National Oceanic and Atmospheric Administration / National Aeronautics and Space Administration / International Foundation for Autonomous Agents / Pattern Analysis and Machine Intelligence / /

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Ryan K. Williams / Ai / /

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Southern California / California / Massachusetts / /

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Southern California / /

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approximate inference algorithm / Bioinformatics / inference algorithms / remote sensing / proposed inference algorithms / approximate algorithms / LBP algorithm / Well-studied algorithms / inference algorithm / Approximation algorithms / proposed algorithms / loopy belief propagation algorithm / hypertree-based inference algorithm / Simulation / clique tree message passing algorithm / /

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