1118 search results - page 129 / 224 » Data Mining via Support Vector Machines |
EMO
2009
Springer
15 years 4 months ago
2009
Springer
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
DMIN
2008
14 years 11 months ago
2008
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
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ICMLA
2010
14 years 8 months ago
2010
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
AE
2007
Springer
15 years 4 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...
CIBCB
2005
IEEE
15 years 3 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...