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Loopy Belief Propagation for Bipartite Maximum Weight b-Matching Bert Huang Computer Science Dept. Columbia University New York, NY 10027
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Document Date: 2007-02-20 15:22:26


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City

San Francisco / New York / /

Company

Neural Information Processing Systems / MIT Press / Morgan Kaufmann Publishers Inc. / /

Country

Jordan / United States / /

Facility

Tony Jebara Computer Science Dept. Columbia University / Matching Bert Huang Computer Science Dept. Columbia University / GOBLIN library / /

IndustryTerm

metal / maxproduct algorithm / b-matching algorithms / max-product belief-propagation algorithm / real-time environment / free energy / approximate solution / combinatorial algorithm / Classical applications / social networks / machine learning applications / sum-product and related algorithms / b-matching applications / b-matching algorithm / max-product algorithm / /

NaturalFeature

6= MT / e∈E e∈MT / /

Organization

Columbia University / MG / National Science Foundation / MIT / /

Person

Blake Shaw / Tony Jebara / max b / Andrew Howard / Stuart Andrews / Ai / /

ProgrammingLanguage

MATLAB / C++ / /

ProvinceOrState

Montana / New York / /

PublishedMedium

IEEE Transactions on Information Theory / Machine Learning / /

Technology

maxproduct algorithm / classical 1-matching algorithms / resulting algorithm / artificial intelligence / 4 processor / max-product algorithm / 1-matching algorithm / sum-product and related algorithms / machine learning / max-product belief-propagation algorithm / b-matching algorithms / b-matching algorithm / /

URL

http /

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