405 search results - page 12 / 81 » Bayesian Gaussian Process Latent Variable Model |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The Independent Component Analysis (ICA) model is extended to the case where the components are not necessarily independent: depending on the value a hidden latent process at the ...
IJAR
2006
14 years 9 months ago
2006
An important class of continuous Bayesian networks are those that have linear conditionally deterministic variables (a variable that is a linear deterministic function of its pare...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
102
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JMLR
2011
14 years 4 months ago
2011
We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...