325 search results - page 5 / 65 » Quadratic Programming Feature Selection |
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
MCS
2009
Springer
15 years 4 months ago
2009
Springer
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
86
Voted
JMLR
2006
14 years 9 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...