735 search results - page 2 / 147 » Margin based feature selection - theory and algorithms |
NIPS
2003
13 years 6 months ago
2003
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
IJON
2010
13 years 3 months ago
2010
PAMI
2010
13 years 3 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
SLSFS
2005
Springer
13 years 10 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...