An Evaluation of Support Vector Machines as a Pattern Recognition Tool
Machine Learning
2014-12-16 v1
Abstract
The purpose of this report is in examining the generalization performance of Support Vector Machines (SVM) as a tool for pattern recognition and object classification. The work is motivated by the growing popularity of the method that is claimed to guarantee a good generalization performance for the task in hand. The method is implemented in MATLAB. SVMs based on various kernels are tested for classifying data from various domains.
Cite
@article{arxiv.1412.4186,
title = {An Evaluation of Support Vector Machines as a Pattern Recognition Tool},
author = {Eugene Borovikov},
journal= {arXiv preprint arXiv:1412.4186},
year = {2014}
}
Comments
A short (6 page) report on evaluation of the SVM as a pattern classification tool, as of 1999