613 search results - page 11 / 123 » Learning the Structure of Linear Latent Variable Models |
JMLR
2010
14 years 4 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
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 ...
ECSQARU
2007
Springer
15 years 3 months ago
2007
Springer
120
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NECO
1998
14 years 9 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
14 years 10 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...