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

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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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Bibliographic Details
Main Author:	Sleabi, Waleed Dhhan
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Machine learning Regression analysis Algorithms
Online Access:	http://psasir.upm.edu.my/id/eprint/69129/ http://psasir.upm.edu.my/id/eprint/69129/7/FS%202016%2050%20IR%20edit.pdf

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