1648 search results - page 219 / 330 » Training Data Selection for Support Vector Machines |
JMLR
2010
13 years 4 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
TKDE
2010
13 years 7 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
UIST
1994
ACM
14 years 1 months ago
1994
ACM
The human visual system makes a great deal more of images than the elemental marks on a surface. In the course of viewing, creating, or editing a picture, we actively construct a ...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...