168 search results - page 7 / 34 » Multi-label Multiple Kernel Learning |
KDD
2008
ACM
16 years 6 days 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...
123
click to vote
NIPS
2004
15 years 1 months 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...
DAGM
2010
Springer
15 years 27 days ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...