996 search results - page 54 / 200 » Generalised Kernel Machines |
ESANN
2006
13 years 11 months ago
2006
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
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...
NN
2010
Springer
13 years 4 months ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...