| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322232 | Expert Systems with Applications | 2015 | 14 Pages |
Abstract
We conduct experiments on a public benchmark containing 36 datasets. The results of the experiments show that our EODE-CLL significantly outperforms state-of-the-art ensemble SPODE methods in terms of accuracy, F-measure, bias, and variance.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xiaolin Zheng, Zhen Lin, Huan Xu, Chaochao Chen, Ting Ye,