A Weighted Voting Classifier Based on Differential Evolution
Ensemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. Considering that different base classifier gives different contribution to the final classification result, this paper assigns greater weight...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/376950 |
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| _version_ | 1832561204859502592 |
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| author | Yong Zhang Hongrui Zhang Jing Cai Binbin Yang |
| author_facet | Yong Zhang Hongrui Zhang Jing Cai Binbin Yang |
| author_sort | Yong Zhang |
| collection | DOAJ |
| description | Ensemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. Considering that different base classifier gives different contribution to the final classification result, this paper assigns greater weights to the classifiers with better performance and proposes a weighted voting approach based on differential evolution. After optimizing the weights of the base classifiers by differential evolution, the proposed method combines the results of each classifier according to the weighted voting combination rule. Experimental results show that the proposed method not only improves the classification accuracy, but also has a strong generalization ability and universality. |
| format | Article |
| id | doaj-art-22fd1e0ff9f54b41a28f722e377a9f05 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-22fd1e0ff9f54b41a28f722e377a9f052025-02-03T01:25:39ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/376950376950A Weighted Voting Classifier Based on Differential EvolutionYong Zhang0Hongrui Zhang1Jing Cai2Binbin Yang3School of Computer and Information Technology, Liaoning Normal University, Dalian 116081, ChinaSchool of Computer and Information Technology, Liaoning Normal University, Dalian 116081, ChinaSchool of Computer and Information Technology, Liaoning Normal University, Dalian 116081, ChinaSchool of Computer and Information Technology, Liaoning Normal University, Dalian 116081, ChinaEnsemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. Considering that different base classifier gives different contribution to the final classification result, this paper assigns greater weights to the classifiers with better performance and proposes a weighted voting approach based on differential evolution. After optimizing the weights of the base classifiers by differential evolution, the proposed method combines the results of each classifier according to the weighted voting combination rule. Experimental results show that the proposed method not only improves the classification accuracy, but also has a strong generalization ability and universality.http://dx.doi.org/10.1155/2014/376950 |
| spellingShingle | Yong Zhang Hongrui Zhang Jing Cai Binbin Yang A Weighted Voting Classifier Based on Differential Evolution Abstract and Applied Analysis |
| title | A Weighted Voting Classifier Based on Differential Evolution |
| title_full | A Weighted Voting Classifier Based on Differential Evolution |
| title_fullStr | A Weighted Voting Classifier Based on Differential Evolution |
| title_full_unstemmed | A Weighted Voting Classifier Based on Differential Evolution |
| title_short | A Weighted Voting Classifier Based on Differential Evolution |
| title_sort | weighted voting classifier based on differential evolution |
| url | http://dx.doi.org/10.1155/2014/376950 |
| work_keys_str_mv | AT yongzhang aweightedvotingclassifierbasedondifferentialevolution AT hongruizhang aweightedvotingclassifierbasedondifferentialevolution AT jingcai aweightedvotingclassifierbasedondifferentialevolution AT binbinyang aweightedvotingclassifierbasedondifferentialevolution AT yongzhang weightedvotingclassifierbasedondifferentialevolution AT hongruizhang weightedvotingclassifierbasedondifferentialevolution AT jingcai weightedvotingclassifierbasedondifferentialevolution AT binbinyang weightedvotingclassifierbasedondifferentialevolution |