619 search results - page 10 / 124 » A Kernel Method for the Two-Sample Problem |
99
Voted
CIARP
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
88
Voted
FSTTCS
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. We describe some new, simple and apparently general methods for designing FPT algorithms, and illustrate how these can be used to obtain a signi cantly improved FPT algor...
71
Voted
ADCM
2008
14 years 9 months ago
2008
This paper first provides a common framework for partial differential equation problems in both strong and weak form by rewriting them as generalized interpolation problems. Then ...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
111
Voted
JMLR
2012
12 years 12 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...