1253 search results - page 116 / 251 » Feature selection for linear support vector machines |
JUCS
2007
13 years 7 months ago
2007
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A geometric and non parametric procedure for testing if two nite set of points are linearly separable is proposed. The Linear Separability Test is equivalent to a test that deter...