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UAI
2008
15 years 7 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
INFOCOM
2010
IEEE
15 years 4 months ago
Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks
—Nowadays, the navigation systems available on cars are becoming more and more sophisticated. They greatly improve the experience of drivers and passengers by enabling them to re...
Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
BMCBI
2010
178views more  BMCBI 2010»
15 years 6 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
MSWIM
2009
ACM
16 years 1 months ago
RENA: region-based routing in intermittently connected mobile network
Hao Wen, Jia Liu, Chuang Lin, Fengyuan Ren, Pan Li...