BriefGPT.xyz
Oct, 2012
近似推理与约束优化
Approximate Inference and Constrained Optimization
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Tom Heskes, Kees Albers, Hilbert Kappen
TL;DR
本文提出了一类算法,其通过一系列对Kikuchi自由能上界的凸约束最小化来解决Kikuchi自由能的非凸约束最小化,加快了有关推理问题的计算速度。
Abstract
Loopy and generalized
belief propagation
are popular algorithms for approximate inference in
markov random fields
and Bayesian networks. Fixed points of these algorithms correspond to extrema of the Bethe and
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