1235 search results - page 31 / 247 » Learning with Idealized Kernels |
DAGM
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. During recent years much effort has been spent in incorporating problem specific a-priori knowledge into kernel methods for machine learning. A common example is a-prior...
JMLR
2010
13 years 4 months ago
2010
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning....
NN
2006
Springer
13 years 9 months ago
2006
Springer
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...