Minority oversampling for imbalanced ordinal regression | |
Tuanfei Zhu; Yaping Lin; Yonghe Liu; Wei Zhang; Jianming Zhang | |
刊名 | Knowledge-Based Systems |
2019 | |
卷号 | Vol.166页码:140-155 |
关键词 | Imbalanced classification Oversampling Ordinal sample structure Ordinal regression |
ISSN号 | 0950-7051 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4604494 |
专题 | 湖南大学 |
作者单位 | 1.b Department of Computer Science and Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, United States a College of Information Science and Engineering, Hunan Key Laboratory of Dependable Systems and Network, Hunan University, 116 Lu Shan South Road, Changsha, China 2.School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, 960 Wanjiali South Road, Changsha, China |
推荐引用方式 GB/T 7714 | Tuanfei Zhu,Yaping Lin,Yonghe Liu,et al. Minority oversampling for imbalanced ordinal regression[J]. Knowledge-Based Systems,2019,Vol.166:140-155. |
APA | Tuanfei Zhu,Yaping Lin,Yonghe Liu,Wei Zhang,&Jianming Zhang.(2019).Minority oversampling for imbalanced ordinal regression.Knowledge-Based Systems,Vol.166,140-155. |
MLA | Tuanfei Zhu,et al."Minority oversampling for imbalanced ordinal regression".Knowledge-Based Systems Vol.166(2019):140-155. |
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