Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2015 (2015), Article ID 835357, 17 pages
http://dx.doi.org/10.1155/2015/835357
Research Article

Analysis of Generalization Ability for Different AdaBoost Variants Based on Classification and Regression Trees

1Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503, Japan
2Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa 226-8503, Japan

Received 13 November 2014; Accepted 21 January 2015

Academic Editor: Sos Agaian

Copyright © 2015 Shuqiong Wu and Hiroshi Nagahashi. 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.

Supplementary Material

The Supplementary Material includes 25 binary classification data sets we used in our experiments. These data sets were downloaded from UCI.

  1. Supplementary Material