126 search results - page 24 / 26 » Covariance estimation in decomposable Gaussian graphical mod... |
96
Voted
WSC
1997
15 years 29 days ago
1997
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
78
Voted
NIPS
2007
15 years 1 months ago
2007
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
NIPS
1997
15 years 29 days ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
87
Voted
SIAMJO
2010
14 years 6 months ago
2010
We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...
114
Voted
DIS
2007
Springer
15 years 5 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...