Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure
A weighted accuracy and diversity (WAD) method is presented, a novel measure used to evaluate the quality of the classifier ensemble, assisting in the ensemble selection task. The proposed measure is motivated by a commonly accepted hypothesis; that is, a robust classifier ensemble should not only b...
| 出版年: | The Scientific World Journal |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Wiley
2014-01-01
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| オンライン･アクセス: | http://dx.doi.org/10.1155/2014/961747 |