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The effect of alternate scaling approaches on the performances of different supervised learning algorithms. an empirical study in the case of credit scoring

机译：替代缩放方法对不同监督学习算法性能的影响。信用评分的实证研究

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作者
Harald Kauderer; Gholamreza Nakhaeizadeh;
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年度 1997
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1. Performance Evaluation of Machine Learning Approaches for Credit Scoring [J] . Anqi Cao, Hongliang He, Zixuan Chen, International Journal of Economics, Finance and Management Sciences . 2018,第6期

机译：机器学习方法信用评分的性能评估
2. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets [J] . Ana Stanescu, Doina Caragea BMC Systems Biology . 2015,第SUPPLEMENTa5期

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3. A study on credit scoring modeling with different feature selection and machine learning approaches [J] . Trivedi Shrawan Kumar Technology in society . 2020,第Nova期

机译：不同特征选择与机器学习方法的信用评分建模研究
4. Using data mining approaches to build credit scoring model: Case study — Implementation of credit scoring model in microfinance institution [C] . Jasmina Nalić, Amar Švraka 2018 17th International Symposium INFOTEH-JAHORINA . 2018

机译：使用数据挖掘方法建立信用评分模型：案例研究—小额信贷机构中信用评分模型的实施
5. Metric Learning Revisited New Approaches for Supervised and Unsupervised Metric Learning with Analysis and Algorithms. [D] . Abou-Moustafa, Karim Tamer. 2012

机译：度量学习通过分析和算法重新探讨了有监督和无监督度量学习的新方法。
6. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets [O] . Ana Stanescu, Doina Caragea 2015

机译：基于整体的不平衡拼接位点数据集半监督学习方法的实证研究
7. An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets [O] . 2015

机译：基于集成的不平衡剪接位点数据集的半监督学习方法的实证研究

The effect of alternate scaling approaches on the performances of different supervised learning algorithms. an empirical study in the case of credit scoring

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