Improving generalization of neural networks using MLP discriminant based on multiple classifiers failures
Multiple classifier systems or ensemble is an idea that is relevant both to neural computing and to machine learning community.Different MCSs can be designed for creating classifier ensembles with different combination functions.However, the best MCS can only be determined by performance evaluation....
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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/20628/ http://doi.org/10.1109/CIMSiM.2010.75 |
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