5866 search results - page 83 / 1174 » An e-Process Selection Model |
121
Voted
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
128
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SIGMOD
2001
ACM
16 years 4 months ago
2001
ACM
Estimating the result size of complex queries that involve selection on multiple attributes and the join of several relations is a difficult but fundamental task in database query...
105
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DICTA
2003
15 years 5 months ago
2003
This paper presents an extensive survey of model selection techniques for computer vision applications. A large number of existing model selection criteria...
149
Voted
CIBCB
2006
IEEE
15 years 10 months ago
2006
IEEE
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
148
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ICCV
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...