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The gene expression data are usually provided with a large number of genes and a relatively small number of samples, which brings a lot of new challenges. Selecting those informative genes becomes the main issue in microarray data analysis. Recursive cluster elimination based on support vector machine (SVM-RCE) has shown the better classification accuracy on some microarray data sets than recursive...
The problem of designing a SVM with given empirical risk as well as good generalization ability is proposed in this paper. Some new SVM models, by minimizing the confident risk under given empirical risk, are proposed to achieve this aim. The solving methods for these models are also discussed. It is shown that the smoothing technique is more suitable to solve these models. A numerical experiment...
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