International Journal of Intelligence Science

Vol.8 No.3(2018), Paper ID 86287, 34 pages

DOI:10.4236/ijis.2018.83003

 

Using Hybrid and Diversity-Based Adaptive Ensemble Method for Binary Classification

 

Xing Fan, Chung-Horng Lung, Samuel A. Ajila

 

Department of Systems and Computer Engineering, Carleton University 1125 Colonel By Drive, Ottawa, Canada
Department of Systems and Computer Engineering, Carleton University 1125 Colonel By Drive, Ottawa, Canada
Department of Systems and Computer Engineering, Carleton University 1125 Colonel By Drive, Ottawa, Canada

 

Copyright © 2018 Xing Fan, Chung-Horng Lung, Samuel A. Ajila 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


Fan, X. , Lung, C. and Ajila, S. (2018) Using Hybrid and Diversity-Based Adaptive Ensemble Method for Binary Classification. International Journal of Intelligence Science, 8, 43-74. doi: 10.4236/ijis.2018.83003.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.