26 search results - page 4 / 6 » Why are DBNs sparse |
SCANGIS
2003
14 years 6 days ago
2003
Discrete sampling data is used in several environmental studies to create maps in order to support decision-making processes. The decision maps represent an increasing importance i...
JMLR
2010
13 years 5 months ago
2010
We introduce a new method -- the group Dantzig selector -- for high dimensional sparse regression with group structure, which has a convincing theory about why utilizing the group...
SIAMMAX
2010
13 years 5 months ago
2010
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...
TSP
2010
13 years 5 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
BROADNETS
2004
IEEE
14 years 2 months ago
2004
IEEE
A fundamental assumption underlying most studies of optical burst switched (OBS) networks is that full wavelength conversion is available throughout the network. In practice, howev...