An iterative SVM approach to feature selection and classification in high-dimensional datasets
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: 2013DOI: 10.1016/j.patcog.2013.02.007
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An iterative SVM approach to feature selection and classification in high-dimensional datasets
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| contributor author | Liu, Dehua | |
| contributor author | Qian, Hui | |
| contributor author | Dai, Guang | |
| contributor author | Zhang, Zhihua | |
| date accessioned | 2020-03-11T21:04:26Z | |
| date available | 2020-03-11T21:04:26Z | |
| date issued | 2013 | |
| identifier other | _39I4QRqTYifCezzyDRWP_zQ0lNanYvQww4b_QXfh8BCW4nh1M.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/661165 | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | An iterative SVM approach to feature selection and classification in high-dimensional datasets | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 5030098 | |
| identifier doi | 10.1016/j.patcog.2013.02.007 | |
| journal title | Pattern Recognition | |
| coverage | Academic | |
| pages | 2531-2537 | |
| journal volume | 46 | |
| journal issue | 9 | |
| filesize | 221353 | |
| citations | 2 |