Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning
文献类型：期刊论文
| 作者 | Yuanxin Lin; Zhiwen Yu; Kaixiang Yang; Ziwei Fan; C. L. Philip Chen |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2024 |
| 卷号 | 11期号:11页码:2204-2219 |
| 关键词 | Broad learning system label correlation mining label imbalance weighting multi-label imbalance |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2024.124557 |
| 英文摘要 | Multi-label classification is a challenging problem that has attracted significant attention from researchers, particularly in the domain of image and text attribute annotation. However, multi-label datasets are prone to serious intra-class and inter-class imbalance problems, which can significantly degrade the classification performance. To address the above issues, we propose the multi-label weighted broad learning system (MLW-BLS) from the perspective of label imbalance weighting and label correlation mining. Further, we propose the multi-label adaptive weighted broad learning system (MLAW-BLS) to adaptively adjust the specific weights and values of labels of MLW-BLS and construct an efficient imbalanced classifier set. Extensive experiments are conducted on various datasets to evaluate the effectiveness of the proposed model, and the results demonstrate its superiority over other advanced approaches. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/59448]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Yuanxin Lin,Zhiwen Yu,Kaixiang Yang,et al. Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(11):2204-2219. |
| APA | Yuanxin Lin,Zhiwen Yu,Kaixiang Yang,Ziwei Fan,&C. L. Philip Chen.(2024).Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning.IEEE/CAA Journal of Automatica Sinica,11(11),2204-2219. |
| MLA | Yuanxin Lin,et al."Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning".IEEE/CAA Journal of Automatica Sinica 11.11(2024):2204-2219. |
入库方式： OAI收割
来源：自动化研究所
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