9494 search results - page 9 / 1899 » Gaussian Process Networks |
DAGM
2010
Springer
13 years 8 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
TSP
2012
12 years 3 months ago
2012
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
TSP
2008
13 years 7 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...
ICONIP
2009
13 years 5 months ago
2009
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We investigate the use of hierarchical Gaussian shortlists to speed up Gaussian likelihood computation. This approach is a combination of hierarchical Gaussian selection and stand...