171 search results - page 13 / 35 » Factorized Asymptotic Bayesian Inference for Mixture Modelin... |
IJAR
2010
13 years 7 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
UAI
2001
13 years 10 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
JCB
2008
13 years 8 months ago
2008
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
ECSQARU
2005
Springer
14 years 2 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
NIPS
2003
13 years 10 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...