990 search results - page 12 / 198 » Evolving kernels for support vector machine classification |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
84
Voted
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
57
Voted
MLDM
2009
Springer
15 years 4 months ago
2009
Springer
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
94
Voted
RECOMB
2005
Springer
15 years 9 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...