188 search results - page 8 / 38 » Adaptive inference on general graphical models |
103
click to vote
JMLR
2010
14 years 4 months ago
2010
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to expre...
CSDA
2007
14 years 9 months ago
2007
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
SIAMMAX
2010
14 years 4 months ago
2010
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
101
click to vote
DSN
2011
IEEE
13 years 9 months ago
2011
IEEE
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...