1253 search results - page 126 / 251 » Feature selection for linear support vector machines |
148
click to vote
AE
2007
Springer
15 years 10 months ago
2007
Springer
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
128
click to vote
ICANN
2005
Springer
15 years 10 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...
126
click to vote
ISNN
2005
Springer
15 years 10 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...
144
click to vote
AIIA
2001
Springer
15 years 8 months ago
2001
Springer
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
118
click to vote
ISNN
2005
Springer
15 years 10 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...