Author

Xiaotong Hu

Date of Graduation

Spring 2017

Degree

Master of Science in Mathematics

Department

Mathematics

Committee Chair

Songfeng Zheng

Keywords

support vector machine, data classification, regression model, hyperplane, statistical learning

Subject Categories

Mathematics

Abstract

Support Vector machine is currently a hot topic in the statistical learning area and is now widely used in data classification and regression modeling. In this thesis, we introduce the basic idea for support vector machine, its application in the classification area including both linear and nonlinear parts, and the idea of support vector regression contains the comparison of loss functions and the usage of kernel function. Two real life examples, which are taken from R package, are also provided for both classification and regression part respectively, talking about classification of glass type and prediction for Ozone pollution.

Copyright

© Xiaotong Hu

Open Access

Included in

Mathematics Commons

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