CORC  > 湖南大学
Minority oversampling for imbalanced ordinal regression
Zhu, TF; Lin, YP; Liu, YH; Zhang, W; Zhang, JM
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/4610784
专题湖南大学
作者单位1.Hunan Univ, Coll Informat Sci & Engn, Hunan Key Lab Dependable Syst & Network, 116 Lu Shan South Rd, Changsha, Hunan, Peoples R China
2.Univ Texas Arlington, Dept Comp Sci & Engn, 701 S Nedderman Dr, Arlington, TX 76019 USA
3.Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Hunan Prov Key Lab Intelligent Proc Big Data Tran, 960 Wanjiali South Rd, Changsha, Hunan, Peoples R China
推荐引用方式
GB/T 7714
Zhu, TF,Lin, YP,Liu, YH,et al. Minority oversampling for imbalanced ordinal regression[J]. KNOWLEDGE-BASED SYSTEMS,2019,Vol.166:140-155.
APA Zhu, TF,Lin, YP,Liu, YH,Zhang, W,&Zhang, JM.(2019).Minority oversampling for imbalanced ordinal regression.KNOWLEDGE-BASED SYSTEMS,Vol.166,140-155.
MLA Zhu, TF,et al."Minority oversampling for imbalanced ordinal regression".KNOWLEDGE-BASED SYSTEMS Vol.166(2019):140-155.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace