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. |
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