5 search results - page 1 / 1 » Application of MOGA Search Strategy to SVM Training Data Sel... |
EMO
2009
Springer
13 years 11 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...
PR
2006
13 years 4 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...
BMCBI
2008
13 years 4 months ago
2008
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
BMCBI
2010
13 years 4 months ago
2010
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...