58 search results - page 1 / 12 » Feature Selection and Dualities in Maximum Entropy Discrimin... |
UAI
2000
13 years 6 months ago
2000
Incorporating feature selection into a classi cation or regression method often carries a number of advantages. In this paper we formalize feature selection speci cally from a dis...
JMLR
2011
13 years 6 days ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
TCBB
2010
13 years 3 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...