MAP Estimation for Graphical Models by Likelihood Maximization

Computing a maximum a posteriori (MAP) assignment in graphical models is a crucial inference problem for many practical applications. Several provably convergent approaches have been successfully developed using linear programming (LP) relaxation of the MAP problem. We present an alternative approac...

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Bibliographic Details
Main Authors:	KUMAR, Akshat, ZILBERSTEIN, Shlomo
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2010
Subjects:	Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/2208 https://ink.library.smu.edu.sg/context/sis_research/article/3208/viewcontent/MAP_Estimation_for_Graphical_Models_by_Likelihood_Maximization.pdf
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Institution:	Singapore Management University
Language:	English

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MAP Estimation for Graphical Models by Likelihood Maximization

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