955 search results - page 4 / 191 » Support Vector Neural Training |
ANNPR
2008
Springer
14 years 11 months ago
2008
Springer
In applications such as character recognition, some classes are heavily overlapped but are not necessarily to be separated. For classification of such overlapping classes, either d...
NN
2000
Springer
14 years 9 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
71
Voted
ICANN
2001
Springer
2001
Springer
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
15 years 2 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...
ANNPR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
ESANN
2006
14 years 11 months ago
2006
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...