613 search results - page 27 / 123 » Learning the Structure of Linear Latent Variable Models |
IJAR
2008
13 years 7 months ago
2008
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
JMLR
2011
13 years 2 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 ...
BMCBI
2008
13 years 7 months ago
2008
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...