9 search results - page 1 / 2 » Learning to Trade with Incremental Support Vector Regression... |
75
Voted
HAIS
2008
Springer
14 years 10 months ago
2008
Springer
81
Voted
NIPS
2003
14 years 11 months ago
2003
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
ICANN
2005
Springer
15 years 2 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
GRC
2008
IEEE
14 years 10 months ago
2008
IEEE
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...
MCS
2005
Springer
15 years 3 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...