A New Approach to Classifier Fusion Based on Upper Integral
文献类型：期刊论文
| 作者 | Wang, Xi-Zhao1; Wang, Ran2; Feng, Hui-Min1; Wang, Hua-Chao3
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 2014-05-01 |
| 卷号 | 44期号:5页码:620-635 |
| 关键词 | Efficiency measure fuzzy integral interaction multiple classifier fusion nonadditive set function upper integral |
| 英文摘要 | Fusing a number of classifiers can generally improve the performance of individual classifiers, and the fuzzy integral, which can clearly express the interaction among the individual classifiers, has been acknowledged as an effective tool of fusion. In order to make the best use of the individual classifiers and their combinations, we propose in this paper a new scheme of classifier fusion based on upper integrals, which differs from all the existing models. Instead of being a fusion operator, the upper integral is used to reasonably arrange the finite resources, and thus to maximize the classification efficiency. By solving an optimization problem of upper integrals, we obtain a scheme for assigning proportions of examples to different individual classifiers and their combinations. According to these proportions, new examples could be classified by different individual classifiers and their combinations, and the combination of classifiers that specific examples should be submitted to depends on their performance. The definition of upper integral guarantees such a conclusion that the classification efficiency of the fused classifier is not less than that of any individual classifier theoretically. Furthermore, numerical simulations demonstrate that most existing fusion methodologies, such as bagging and boosting, can be improved by our upper integral model. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000334739900005 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/6419]  |
| 专题 | 国家天文台_空间科学研究部 |
| 作者单位 | 1.Hebei Univ, Key Lab Machine Learning & Computat Intelligence, Coll Math & Com Sci, Baoding 071002, Hebei, Peoples R China 2.City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China 3.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xi-Zhao,Wang, Ran,Feng, Hui-Min,et al. A New Approach to Classifier Fusion Based on Upper Integral[J]. IEEE TRANSACTIONS ON CYBERNETICS,2014,44(5):620-635. |
| APA | Wang, Xi-Zhao,Wang, Ran,Feng, Hui-Min,&Wang, Hua-Chao.(2014).A New Approach to Classifier Fusion Based on Upper Integral.IEEE TRANSACTIONS ON CYBERNETICS,44(5),620-635. |
| MLA | Wang, Xi-Zhao,et al."A New Approach to Classifier Fusion Based on Upper Integral".IEEE TRANSACTIONS ON CYBERNETICS 44.5(2014):620-635. |
入库方式： OAI收割
来源：国家天文台
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