Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection
Conventional corporate credit evaluation models are primarily based solely on financial variables in conjunction with supervised learning methods. However, the acquisition of the labeled sample information required by supervised learning methods is generally a costly and lengthy process, and is ther...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9246557/ |