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Predicting Credit Risk in Peer-to-Peer Lending: A Neural ...
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由 A Byanjankar 著作2015被引用 213 次 — This paper proposes a credit scoring model using artificial neural networks in classifying peer-to-peer loan applications into default and non-default groups.
Predicting Credit Risk in Peer-to-Peer Lending: A Neural ...
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This paper proposes a credit scoring model using artificial neural networks in classifying peer-to-peer loan applications into default and non- default groups.
7 頁
Predicting Credit Risk in Peer-to-Peer Lending: A Neural ...
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A credit scoring model using artificial neural networks in classifying peer-to-peer loan applications into default and non-default groups is proposed
Predicting Credit Risk in Peer-to-Peer Lending: A Neural ...
ResearchGate
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2015年12月8日 — This paper proposes a credit scoring model using artificial neural networks in classifying peer-to-peer loan applications into default and non-default groups.
Byanjankar, A., Heikkila, M. and Mezei, J. (2015) Predicting ...
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This study aims to estimate default probabilities using a mixture-of-experts neural network in P2P lending. The approach involves coupling unsupervised ...
Credit risk assessment of P2P lending platform towards big ...
ScienceDirect.com
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由 Y Guo 著作2020被引用 44 次 — In this paper, we propose BP neural network-based algorithm for credit risk assessment of P2P lending platforms.
Credit Risk Prediction for Peer-To-Peer Lending Platforms
ResearchGate
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This paper proposes a machine learning model with feature selection to measure credit risk of individual borrower on P2P lending. Based on our experimental ...
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Credit risk analysis with machine learning techniques in ...
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由 M Nilsson 著作2018被引用 1 次 — This paper conducts the credit risk analysis and compares classification performances among different algorithms (logistic regression, support vector machine, ...
42 頁
A comparative study under the lens of machine learning
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由 Y Liu 著作2024被引用 4 次 — In this study we propose an enhanced two-step modeling approach for Machine Learning (ML) that utilizes insights from network analysis.
A credit risk assessment model of borrowers in P2P ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 Z Ma 著作2021被引用 42 次 — This paper first analyzes the basic development of China's P2P online lending and the credit risks of borrowers in the industry.
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