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Efcient and Robust Feature Selection via Joint Norms Minimization Feiping Nie Computer Efcient and Robust Feature Selection via Joint Norms Minimization Feiping Nie Computer

Efcient and Robust Feature Selection via Joint Norms Minimization Feiping Nie Computer - PDF document

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Uploaded On 2014-12-11

Efcient and Robust Feature Selection via Joint Norms Minimization Feiping Nie Computer - PPT Presentation

com Heng Huang Computer Science and Engineering University of Texas at Arlington hengutaedu Xiao Cai Computer Science and Engineering University of Texas at Arlington xiaocaimavsutaedu Chris Ding Computer Science and Engineering University of Texas a ID: 22131

com Heng Huang Computer Science

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0 10 20 30 40 50 60 70 80 70 75 80 85 90 95 100 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS 0 10 20 30 40 50 60 70 80 80 82 84 86 88 90 92 94 96 98 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS 0 10 20 30 40 50 60 70 80 10 20 30 40 50 60 70 80 90 100 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS 0 10 20 30 40 50 60 70 80 75 80 85 90 95 100 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS 0 10 20 30 40 50 60 70 80 30 35 40 45 50 55 60 65 70 75 80 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS 0 10 20 30 40 50 60 70 80 70 75 80 85 90 95 the number of features selectedthe classification accuracy ReliefF FscoreRank T-test Information gain mRMR RFS