49 search results - page 6 / 10 » Learning Bayesian network classifiers by maximizing conditio... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
ECCB
2003
IEEE
14 years 26 days ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
JMLR
2000
13 years 7 months ago
2000
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...