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http://users.stat.umn.edu/~zouxx019/Papers/EJS-svm.pdf
Abstract: When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors. The lasso and other variable selection techniques have been successfully used in the SVM to perform automatic variable selection. In some ...
https://www.researchgate.net/publication/1767971_Structured_Variable_Selection_in_Support_Vector_Machines
Structured Variable Selection in Support Vector Machines ... and the heredity principle in the SVM by using the so-called structured variable selection (SVS) framework originally proposed in Yuan ...
https://arxiv.org/abs/0710.0508
When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors. The lasso and other variable selection techniques have been successfully used in the SVM to perform automatic variable selection. In some problems, there is a natural hierarchical structure among the ...Cited by: 9
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.246.5320
Abstract: When applying the support vector machine (SVM) to highdimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors. The lasso and other variable selection techniques have been successfully used in the SVM to perform automatic variable selection.
http://adsabs.harvard.edu/abs/2007arXiv0710.0508W
When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors. The lasso and other variable selection techniques have been successfully used in the SVM to perform automatic variable selection.
https://archive.org/details/arxiv-0710.0508
When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the...
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