1957 search results - page 59 / 392 » Approximate algorithms for neural-Bayesian approaches |
ATAL
2009
Springer
15 years 1 months ago
2009
Springer
Interactive dynamic influence diagrams (I-DIDs) are graphical models for sequential decision making in uncertain settings shared by other agents. Algorithms for solving I-DIDs fac...
JSC
2007
14 years 9 months ago
2007
Triangular decompositions for systems of polynomial equations with n variables, with exact coefficients, are well developed theoretically and in terms of implemented algorithms i...
TIP
2008
14 years 9 months ago
2008
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
106
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JMLR
2010
14 years 4 months ago
2010
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to expre...
175
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DAC
2011
ACM
13 years 9 months ago
2011
ACM
In this paper, a new sparse approximation technique is proposed for incremental power grid analysis. Our proposed method is motivated by the observation that when a power grid net...