2712 search results - page 406 / 543 » On learning algorithm selection for classification |
114
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
112
Voted
CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
86
Voted
BMCBI
2010
15 years 26 days ago
2010
Background: Recent advances in antibody microarray technology have made it possible to measure the expression of hundreds of proteins simultaneously in a competitive dual-colour a...
112
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
We present a method coupling multiple switching linear models. The coupled switching linear model is an interactive process of two switching linear models. Coupling is given throu...