474 search results - page 36 / 95 » The Bayesian Structural EM Algorithm |
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
ALT
2003
Springer
14 years 5 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
KDD
2008
ACM
2008
ACM
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
14 years 9 months ago
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...