4 search results - page 1 / 1 » Multiple kernel learning, conic duality, and the SMO algorit... |
90
Voted
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
116
Voted
NIPS
2004
15 years 8 days ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
95
Voted
JMLR
2006
14 years 11 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 ...
94
Voted
JMLR
2011
14 years 5 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...