44 search results - page 2 / 9 » On numerical optimization theory of infinite kernel learning |
COLT
2005
Springer
15 years 3 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
JAT
2010
14 years 4 months ago
2010
We study the efficient numerical solution of infinite matrix equations Au = f for a matrix A in the Jaffard algebra. These matrices appear naturally via frame discretizations in m...
88
Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
NIPS
2008
14 years 11 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
80
Voted
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...