1584 search results - page 75 / 317 » Data selection for support vector machine classifiers |
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
AE
2007
Springer
15 years 4 months ago
2007
Springer
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
NAACL
2001
14 years 11 months ago
2001
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...