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Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning

Yuanxin Lin Zhiwen Yu Kaixiang Yang Ziwei Fan C.L.Philip Chen

自动化学报（英文版）2024，Vol.11Issue(11)：2204-2219,16.

自动化学报（英文版）2024，Vol.11Issue(11)：2204-2219,16.DOI:10.1109/JAS.2024.124557

Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning

Yuanxin Lin ¹Zhiwen Yu ²Kaixiang Yang ¹Ziwei Fan ¹C.L.Philip Chen¹

作者信息

1. School of Computer Science and Engineering in South China University of Technology,Guangzhou 510650,China
2. School of Computer Science and Engineering in South China University of Technology,Guangzhou 510650,China||Pengcheng Laboratory,Shenzhen 518066,China
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摘要

关键词

Broad learning system/label correlation mining/label imbalance weighting/multi-label imbalance

Key words

Broad learning system/label correlation mining/label imbalance weighting/multi-label imbalance

引用本文复制引用

Yuanxin Lin,Zhiwen Yu,Kaixiang Yang,Ziwei Fan,C.L.Philip Chen..Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning[J].自动化学报（英文版）,2024,11(11):2204-2219,16.

基金项目

This work was supported in part by the National Key R&D Program of China(2023YFA1011601),the Major Key Project of PCL,China(PCL2023AS7-1),in part by the National Natural Science Foundation of China(U21A20478,62106224,92267203),in part by the Science and Technology Major Project of Guangzhou(202007030006),in part by the Major Key Project of PCL(PCL2021A09),and in part by the Guangzhou Science and Technology Plan Project(2024A04J3749). （2023YFA1011601）

自动化学报（英文版）

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