53 search results - page 2 / 11 » Recursive SVM feature selection and sample classification fo... |
BMCBI
2007
13 years 5 months ago
2007
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
AUSAI
2006
Springer
13 years 7 months ago
2006
Springer
The SVM based Recursive Feature Elimination (RFE-SVM) algorithm is a popular technique for feature selection, used in natural language processing and bioinformatics. Recently it wa...
BMCBI
2008
13 years 5 months ago
2008
Background: Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectro...
CIBCB
2005
IEEE
13 years 11 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...
AUSAI
2007
Springer
13 years 9 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...