Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation
Computing maximum a posteriori (MAP) estimation in graphical models is an important inference problem with many applications. We present message-passing algorithms for quadratic programming (QP) formulations of MAP estimation for pairwise Markov random fields. In particular, we use the concave-conve...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2011
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/2205 https://ink.library.smu.edu.sg/context/sis_research/article/3205/viewcontent/1202.3739.pdf |
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| Institution: | Singapore Management University |
| Language: | English |