3236 search results - page 12 / 648 » Active kernel learning |
106
click to vote
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
NIPS
2004
14 years 11 months ago
2004
This paper provides a foundation for multi
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
IJON
2002
14 years 9 months ago
2002
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi