Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data

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...

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書目詳細資料
主要作者:	Sleabi, Waleed Dhhan
格式:	Thesis
語言:	English
出版:	2016
主題:	Machine learning Regression analysis Algorithms
在線閱讀:	http://psasir.upm.edu.my/id/eprint/69129/1/FS%202016%2050%20IR.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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