3647 search results - page 14 / 730 » Feature Selection for SVMs |
165
Voted
SIGIR
2006
ACM
16 years 20 days ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
205
Voted
ICIP
2003
IEEE
16 years 5 hour ago
2003
IEEE
Two hybrid systems for classifying seven categories of human facial expression are proposed. The £rst system combines independent component analysis (ICA) and support vector mach...
145
Voted
ICANN
2007
Springer
16 years 26 days ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
192
Voted
ESANN
2000
15 years 8 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
214
Voted
SDM
2012
SIAM
13 years 9 months ago
2012
SIAM
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....