Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2015 (2015), Article ID 471371, 18 pages
http://dx.doi.org/10.1155/2015/471371
Research Article

Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data

1Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3School of Computer Science and Engineering, Water Resources University, Hanoi 10000, Vietnam
4College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
5Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi 10000, Vietnam

Received 20 June 2014; Accepted 20 August 2014

Academic Editor: Shifei Ding

Copyright © 2015 Thanh-Tung Nguyen 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

Thanh-Tung Nguyen, Joshua Zhexue Huang, and Thuy Thi Nguyen, “Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data,” The Scientific World Journal, vol. 2015, Article ID 471371, 18 pages, 2015. doi:10.1155/2015/471371