Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
The ordinary least squares (OLS) is reported as the most commonly used method to estimate the relationship between variables (inputs and output) in the linear regression models because of its optimal properties and ease of calculation. Unfortunately, the OLS estimator is not efficient in cases of th...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/69129/7/FS%202016%2050%20IR%20edit.pdf |