46 search results - page 1 / 10 » Tree-structured Approximations by Expectation Propagation |
97
Voted
UAI
2001
14 years 11 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
78
Voted
NIPS
2008
14 years 11 months ago
2008
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 ...
63
Voted
NIPS
2003
14 years 11 months ago
2003
85
Voted
NIPS
2003
14 years 11 months ago
2003
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...