26 search results - page 5 / 6 » The LCCP for Optimizing Kernel Parameters for SVM |
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
Although a considerable amount of work has been published on material classification, relatively little of it studies situations with considerable variation within each class. Man...
ICANN
2001
Springer
2001
Springer
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
13 years 11 months ago
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
BMCBI
2011
13 years 1 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
ESANN
2004
13 years 7 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...