Improved Weighted Support Vector Machine

DOI

10.2991/icamcs-16.2016.4How to use a DOI?

Keywords

SVM, Weighted SVM, sample, isolated points, C-SVM

Abstract

In this paper, weighted Support Vector Machine was introduced. And the weighted Support Vector Machine was improved. Some methods of determining weight were introduced, and the comprehensive method of determining weight was adopted. Simulation results indicated that the total accuracy rating by improved weighted Support Vector Machine is higher than C-SVM. It’s able to improve the distribution accuracy rating with improved Supported Vector Machine effectively.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - WanLing Li
AU  - Peng Chen
AU  - Xiangjun Song
PY  - 2016/06
DA  - 2016/06
TI  - Improved Weighted Support Vector Machine
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 14
EP  - 17
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.4
DO  - 10.2991/icamcs-16.2016.4
ID  - Li2016/06
ER  -