ROBUST VARIABLE SELECTION FOR SINGLE INDEX SUPPORT VECTOR REGRESSION MODEL
The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to identify and minimize the effects of outliers...
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| Format: | Article |
| Language: | Arabic |
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Al-Mustansiriyah University
2019-08-01
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| Series: | Mustansiriyah Journal of Science |
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| Online Access: | http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/388 |