255 search results - page 45 / 51 » Distributed sparse linear regression |
88
Voted
ISPDC
2005
IEEE
15 years 6 months ago
2005
IEEE
Grid computing accomplishes high throughput computing by using a very large number of unexploited computing resources. We present a parallel method GMRES to solve large sparse lin...
89
Voted
IPPS
2007
IEEE
15 years 6 months ago
2007
IEEE
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
103
Voted
NIPS
2007
15 years 1 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
119
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Keystone distortion is a long-standing problem in stereoscopic cinematography. Keystone distortion occurs when a stereoscopic camera toes in to achieve a desirable disparity distr...