Table of Contents
Advances in Artificial Neural Systems
Volume 2015 (2015), Article ID 265637, 10 pages
http://dx.doi.org/10.1155/2015/265637
Research Article

Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes

Indian Institute of Information Technology, Allahabad 211012, India

Received 30 September 2014; Accepted 23 December 2014

Academic Editor: Chao-Ton Su

Copyright © 2015 Divya Tomar and Sonali Agarwal. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Divya Tomar and Sonali Agarwal, “Hybrid Feature Selection Based Weighted Least Squares Twin Support Vector Machine Approach for Diagnosing Breast Cancer, Hepatitis, and Diabetes,” Advances in Artificial Neural Systems, vol. 2015, Article ID 265637, 10 pages, 2015. doi:10.1155/2015/265637