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Project description

Feature selection for SVM classification in high dimensions using penalty functions L1, SCAD, Elastic Net (L1+L2) and Elastic SCAD (SCAD+L2) SVM. Choice of data-dependent tuning parameters: beside the standard fixed grid an interval search is implemented

Project Info

Tags: Classification, feature selection, machine learning, tuning parameters, penalty functions, high dimentional data, low sample size high dimensional data, Bioinformatics, Machine Learning

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Registered: 2012-06-19 15:40
Activity Ranking: 0
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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge