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» On Latent Belief Structures
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CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 10 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
ICC
2008
IEEE
199views Communications» more  ICC 2008»
14 years 4 months ago
Lower-Complexity Layered Belief-Propagation Decoding of LDPC Codes
Abstract— The design of LDPC decoders with low complexity, high throughput, and good performance is a critical task. A well-known strategy is to design structured codes such as q...
Yuan-Mao Chang, Andres I. Vila Casado, Mau-Chung F...
CPAIOR
2008
Springer
13 years 11 months ago
Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting
We consider the problem of estimating the model count (number of solutions) of Boolean formulas, and present two techniques that compute estimates of these counts, as well as eith...
Lukas Kroc, Ashish Sabharwal, Bart Selman
UAI
2004
13 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
ICASSP
2011
IEEE
13 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...