2136 search results - page 2 / 428 » Improving on Expectation Propagation |
UAI
2001
13 years 6 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to...
CVPR
2005
IEEE
14 years 7 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...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
NIPS
2003
13 years 6 months ago
2003
