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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Canadian Center of Science and Education
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/63148/ http://psasir.upm.edu.my/id/eprint/63148/1/Robust%20Support%20Vector%20Regression%20Model%20in%20the%20Presence%20of%20Outliers%20and%20Leverage%20Points.pdf |
| _version_ | 1848854723184033792 |
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| author | Dhhan, Waleed Midi, Habshah Alameer, Thaera |
| author_facet | Dhhan, Waleed Midi, Habshah Alameer, Thaera |
| author_sort | Dhhan, Waleed |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 for linear and nonlinear target functions. In order to carry out this goal, the support vector regression model with fixed parameters is used to detect and minimize the effects of abnormal points in the data set. The efficiency of the proposed method is investigated by using real and simulation examples. |
| first_indexed | 2025-11-15T11:14:24Z |
| format | Article |
| id | upm-63148 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:14:24Z |
| publishDate | 2017 |
| publisher | Canadian Center of Science and Education |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-631482018-09-19T01:24:13Z http://psasir.upm.edu.my/id/eprint/63148/ Robust support vector regression model in the presence of outliers and leverage points Dhhan, Waleed Midi, Habshah Alameer, Thaera 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 for linear and nonlinear target functions. In order to carry out this goal, the support vector regression model with fixed parameters is used to detect and minimize the effects of abnormal points in the data set. The efficiency of the proposed method is investigated by using real and simulation examples. Canadian Center of Science and Education 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/63148/1/Robust%20Support%20Vector%20Regression%20Model%20in%20the%20Presence%20of%20Outliers%20and%20Leverage%20Points.pdf Dhhan, Waleed and Midi, Habshah and Alameer, Thaera (2017) Robust support vector regression model in the presence of outliers and leverage points. Modern Applied Science, 11 (8). pp. 1913-1852. ISSN 1913-1844; ESSN: 1913-1852 http://ccsenet.org/journal/index.php/mas/article/view/68568 10.5539/mas.v11n8p92 |
| spellingShingle | Dhhan, Waleed Midi, Habshah Alameer, Thaera Robust support vector regression model in the presence of outliers and leverage points |
| title | Robust support vector regression model in the presence of outliers and leverage points |
| title_full | Robust support vector regression model in the presence of outliers and leverage points |
| title_fullStr | Robust support vector regression model in the presence of outliers and leverage points |
| title_full_unstemmed | Robust support vector regression model in the presence of outliers and leverage points |
| title_short | Robust support vector regression model in the presence of outliers and leverage points |
| title_sort | robust support vector regression model in the presence of outliers and leverage points |
| url | http://psasir.upm.edu.my/id/eprint/63148/ http://psasir.upm.edu.my/id/eprint/63148/ http://psasir.upm.edu.my/id/eprint/63148/ http://psasir.upm.edu.my/id/eprint/63148/1/Robust%20Support%20Vector%20Regression%20Model%20in%20the%20Presence%20of%20Outliers%20and%20Leverage%20Points.pdf |