What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

Antoinette Canart Tessmer

首页> 外文期刊>Decision sciences >What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

【24h】

What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

机译：向未遂者学习什么：信用风险评估的归纳学习方法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper presents a new dimension of inductive learning for credit risk analysis based on the specific impact of Type I and Type II credit errors on the accuracy of the learning process. A Dynamic Updating Process is proposed to refine the credit granting decision over time and therefore improve the accuracy of the learning process. The new dimension is tested on credit files of small Belgian businesses. Results indicate an improvement of the learning process in terms of predictive accuracy, stability, and conceptual validity of the final decision tree.

机译：本文基于类型I和类型II信用错误对学习过程准确性的特定影响，提出了用于信用风险分析的归纳学习的新维度。提出了一种动态更新过程，以随着时间的推移完善授信决策，从而提高学习过程的准确性。新的维度已在比利时小型企业的信用档案中进行了测试。结果表明，在最终决策树的预测准确性，稳定性和概念有效性方面，学习过程得到了改善。

著录项

来源
《Decision sciences》 |1997年第1期|105-120|共16页
作者
Antoinette Canart Tessmer;
展开▼
作者单位

Department of Finance University of Illinois at Urbana-Champaign 340 Commerce West 1206 South Sixth Street Champaign IL 61820 atessmer@uiuc.edu;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Decision Support Systems; Decision Theory; and Finance.;

机译：决策支持系统;决策理论;财务。;

相似文献

外文文献
中文文献
专利

1. Credit risk assessment with a multistage neural network ensemble learning approach [J] . Lean Yu, Shouyang Wang, Kin Keung Lai Expert systems with applications . 2008,第2期

机译：多阶段神经网络集成学习方法的信用风险评估
2. A novel multistage deep belief network based extreme learning machine ensemble learning paradigm for credit risk assessment [J] . Yu Lean, Yang Zebin, Tang Ling Flexible Services and Manufacturing Journal . 2016,第4期

机译：基于新型多阶段深度信念网络的极限学习机集成学习范式用于信用风险评估
3. A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company [J] . Applied Soft Computing . 2020,第期

机译：巴西信用卡公司信用风险评估的两级模糊神经方法
4. Enterprise Credit Risk Assessment Using Feature Selection Approach and Ensemble Learning Technique [C] . Di Wang, Zuoquan Zhang International Conference on Computational Intelligence and Security . 2020

机译：企业信用风险评估使用特征选择方法和集合学习技术
5. Soar CGFs that learn inductively: A hybrid autonomous approach based on a modified naive Bayes learning algorithm. [D] . Chia, Chien Wei. 2003

机译：腾飞的CGF可以归纳学习：一种基于改进的朴素贝叶斯学习算法的混合自主方法。
6. Machine Learning Analysis of the Relationship Between Changes in Immunological Parameters and Changes in Resistance to Listeria monocytogenes: A New Approach for Risk Assessment and Systems Immunology [O] . Zhifa Liu, Changhe Yuan, Stephen B. Pruett -1

机译：免疫学参数变化与单核细胞增生性李斯特菌抗性变化之间关系的机器学习分析：风险评估和系统免疫学的新方法
7. New dimensions of inductive learning for credit risk analysis. BEBR 92-0145 [O] . Tessmer Antoinette Canart 1992

机译：信用风险分析的归纳学习的新维度。 BEBR 92-0145

What to Learn from Near Misses: An Inductive Learning Approach to Credit Risk Assessment

摘要

著录项

相似文献

相关主题

期刊订阅