Robust support vector regression model in the presence of outliers and leverage points
Support vector regression is used to evaluate the linear and non-linear relationships among variables. Although it is non-parametric technique, it is still affected by outliers, because the possibility to select them as support vectors. In this article, we proposed a robust support vector regression...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Canadian Center of Science and Education
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/63148/1/Robust%20Support%20Vector%20Regression%20Model%20in%20the%20Presence%20of%20Outliers%20and%20Leverage%20Points.pdf http://psasir.upm.edu.my/id/eprint/63148/ http://ccsenet.org/journal/index.php/mas/article/view/68568 |
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