990 search results - page 6 / 198 » Evolving kernels for support vector machine classification |
GFKL
2007
Springer
15 years 1 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
CORR
2010
Springer
14 years 6 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
88
Voted
WCE
2007
14 years 10 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
JMLR
2008
14 years 9 months ago
2008
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
106
Voted
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...