458 search results - page 2 / 92 » Distributed Covariance Estimation in Gaussian Graphical Mode... |
ISCI
2008
13 years 4 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...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don’t always work ...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
TSP
2008
13 years 4 months ago
2008
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
JCB
2007
13 years 4 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...