17 search results - page 3 / 4 » Parallel Importance Sampling in Conditional Linear Gaussian ... |
BIRD
2008
Springer
13 years 8 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
NECO
2011
13 years 1 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
ICDCS
2007
IEEE
13 years 10 months ago
2007
IEEE
As a key approach to achieve energy efficiency in sensor networks, sensing coverage has been studied extensively. Researchers have designed many coverage protocols to provide vario...
BMCBI
2007
13 years 6 months ago
2007
Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...