126 search results - page 5 / 26 » Covariance estimation in decomposable Gaussian graphical mod... |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
ISCI
2008
14 years 9 months ago
2008
Multivariate Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs), and covariance matrix plays the essential role in guiding the evolution...
JMLR
2006
14 years 9 months ago
2006
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
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TASLP
2010
14 years 4 months ago
2010
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...