3647 search results - page 20 / 730 » Feature Selection for SVMs |
TRECVID
2008
13 years 9 months ago
2008
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
ROCAI
2004
Springer
14 years 1 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
PAMI
2002
13 years 7 months ago
2002
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...