993 search results - page 82 / 199 » Learning RoboCup-Keepaway with Kernels |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...
104
click to vote
ECML
2004
Springer
15 years 1 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
102
click to vote
FOCM
2006
14 years 10 months ago
2006
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
176
click to vote
COMPGEOM
2011
ACM
14 years 1 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
102
click to vote
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...