5 search results - page 1 / 1 » Maximum entropy relaxation for multiscale graphical model se... |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
JMLR
2011
13 years 4 days ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICML
2001
IEEE
14 years 6 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
ICASSP
2009
IEEE
13 years 12 months ago
2009
IEEE
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...