19 search results - page 1 / 4 » Large-Scale Maximum Margin Discriminant Analysis Using Core ... |
TNN
2008
13 years 4 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
BMCBI
2006
13 years 4 months ago
2006
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
SDM
2008
SIAM
13 years 5 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...