809 search results - page 34 / 162 » Linear Modeling of Genetic Networks from Experimental Data |
107
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PR
2007
14 years 9 months ago
2007
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
109
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CORR
2010
Springer
14 years 8 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
CSB
2005
IEEE
15 years 3 months ago
2005
IEEE
A genetic map is an ordering of genetic markers constructed from genetic linkage data for use in linkage studies and experimental design. While traditional methods have focused on...
NECO
2007
14 years 9 months ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...