133 search results - page 1 / 27 » Margin and Radius Based Multiple Kernel Learning |
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
COLT
2003
Springer
13 years 10 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...