Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data /
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
2016.
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| Subjects: | |
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| 005 | 20191218165527.0 | ||
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| 100 | 1 | |a Sleabi, Waleed Dhhan. | |
| 245 | 1 | |a Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data / |c by Waleed Dhhan Sleabi. | |
| 260 | |c 2016. | ||
| 300 | |a 150 leaves : |b ill. ; |c 26cm. | ||
| 336 | |2 rdacontent |a text | ||
| 337 | |2 rdamedia |a unmediated | ||
| 338 | |2 rdacarrier |a volume | ||
| 502 | |a Thesis (Ph.D) - Universiti Putra Malaysia, 2016. | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Nonlinear theories. | |
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