98 search results - page 3 / 20 » Propagation Algorithms for Variational Bayesian Learning |
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
ICONIP
2007
13 years 7 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
PKDD
2010
Springer
13 years 4 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...