36 search results - page 4 / 8 » Maxi-Min Margin Machine: Learning Large Margin Classifiers L... |
PAMI
2010
14 years 8 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...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We introduce a novel approach to incorporating domain knowledge into Support Vector Machines to improve their example efficiency. Domain knowledge is used in an Explanation Based ...
ICMLA
2009
14 years 7 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...