Support Vector Machines Based Methodology for Credit Risk Analysis
Jianping Li2; Mingxi Liu2; Cheng-Few Lee1; Dengsheng Wu2
专著(文集)名Handbook of Financial Econometrics, Mathematics, Statistics, and Technology
其他责任者Cheng Few Lee, John C. Lee
2020
出版者World Scientific ; World Scientific
出版地Singapore ; Singapore
关键词Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification
出版者World Scientific ; World Scientific
出版地Singapore ; Singapore
关键词Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification Support Vector Machines Feature Extraction Kernel Function Selection Hyper-Parameter Optimization Credit Risk Classification
语种英语
内容类型专著章节/文集论文
源URL[http://ir.casisd.cn/handle/190111/10087]  
专题中国科学院科技战略咨询研究院
作者单位1.Rutgers University
2.Institutes of Science and Development, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Jianping Li,Mingxi Liu,Cheng-Few Lee,et al. Support Vector Machines Based Methodology for Credit Risk Analysis. Handbook of Financial Econometrics, Mathematics, Statistics, and Technology. Singapore, Singapore:World Scientific, World Scientific,2020.
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