996 search results - page 67 / 200 » Generalised Kernel Machines |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
COLT
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...