447 search results - page 53 / 90 » Choosing Multiple Parameters for Support Vector Machines |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
NIPS
2007
13 years 9 months ago
2007
This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation inv...
CCGRID
2007
IEEE
14 years 2 months ago
2007
IEEE
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
CGO
2008
IEEE
14 years 2 months ago
2008
IEEE
Vector-thread (VT) architectures exploit multiple forms of parallelism simultaneously. This paper describes a compiler for the Scale VT architecture, which takes advantage of the ...