222 search results - page 35 / 45 » Geometric Neural Networks and Support Multi-Vector Machines |
IJCNN
2006
IEEE
15 years 3 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...
67
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
74
Voted
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...