613 search results - page 11 / 123 » Learning the Structure of Linear Latent Variable Models |
JMLR
2010
13 years 2 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
ICASSP
2011
IEEE
12 years 11 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 ...
ECSQARU
2007
Springer
14 years 1 months ago
2007
Springer
NECO
1998
13 years 7 months ago
1998
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
NIPS
1996
13 years 8 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...