126 search results - page 14 / 26 » Covariance estimation in decomposable Gaussian graphical mod... |
106
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JMLR
2012
13 years 1 days ago
2012
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
107
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BMCBI
2011
14 years 4 months ago
2011
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
82
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IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
109
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CVPR
2010
IEEE
14 years 9 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...