Support Vector Machines Based Methodology for Credit Risk Analysis
文献类型：专著章节/文集论文
| 作者 | 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 |
| 出版日期 | 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 |
| 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 系统分析与管理研究所 |
| 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. |
入库方式： OAI收割
来源：科技战略咨询研究院
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