619 search results - page 51 / 124 » A Kernel Method for the Two-Sample Problem |
102
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
110
click to vote
ECML
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
116
click to vote
ECML
2005
Springer
15 years 8 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
125
click to vote
BMCBI
2004
15 years 2 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
122
Voted
CVPR
2010
IEEE
15 years 19 days ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...