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Journal of Applied Mathematics
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Journal of Applied Mathematics
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2013
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Article
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Tab 1
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Research Article
A Semisupervised Feature Selection with Support Vector Machine
Table 1
Comparisons of selected features and their standard errors (in parenthesis).
is the number of selected relevant features and
is the number of selected noise features.
SENFS
Spectral
DrSVM
0
6.2 (0.28)
5.6 (0.28)
4.75 (0.22)
5.9 (0.29)
5.41 (0.27)
5.7 (0.15)
0.5
7.2 (0.01)
3.9 (0.05)
6.88 (0.1)
6.2 (0.24)
6.83 (0.31)
5.4 (0.17)
0.9
8.9 (0.04)
2.1 (0.11)
8.32 (0.09)
4.15 (0.15)
8.1 (0.08)
4.55 (0.22)