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» A Scheme for Approximating Probabilistic Inference
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CISS
2010
IEEE
12 years 8 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter
CP
2004
Springer
13 years 10 months ago
Counting-Based Look-Ahead Schemes for Constraint Satisfaction
Abstract. The paper presents a new look-ahead scheme for backtracking search for solving constraint satisfaction problems. This look-ahead scheme computes a heuristic for value ord...
Kalev Kask, Rina Dechter, Vibhav Gogate
AAAI
2008
13 years 7 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
NIPS
2008
13 years 6 months ago
Improving on Expectation Propagation
A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These ...
Manfred Opper, Ulrich Paquet, Ole Winther
NIPS
1998
13 years 6 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul