Date of Graduation
Spring 2017
Degree
Master of Science in Mathematics
Department
Mathematics
Committee Chair
Songfeng Zheng
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.
Keywords
support vector machine, data classification, regression model, hyperplane, statistical learning
Subject Categories
Mathematics
Copyright
© Xiaotong Hu
Recommended Citation
Hu, Xiaotong, "Support Vector Machine and Its Application to Regression and Classification" (2017). MSU Graduate Theses/Dissertations. 3177.
https://bearworks.missouristate.edu/theses/3177
