Table of Contents
Advances in Artificial Intelligence
Volume 2014, Article ID 679847, 12 pages
Research Article

A New Evolutionary-Incremental Framework for Feature Selection

1Machine Vision Research Lab., Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad 91779, Iran
2Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran 14399, Iran

Received 13 May 2014; Accepted 9 November 2014; Published 25 November 2014

Academic Editor: António Dourado Pereira Correia

Copyright © 2014 Mohamad-Hoseyn Sigari et al. 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

Mohamad-Hoseyn Sigari, Muhammad-Reza Pourshahabi, and Hamid-Reza Pourreza, “A New Evolutionary-Incremental Framework for Feature Selection,” Advances in Artificial Intelligence, vol. 2014, Article ID 679847, 12 pages, 2014.