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Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection

机译：基于广义添加剂物流回归的公司信贷异常检测的半监督学习分类

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Song Han;
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4. Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset [C] . Fereshteh Abbasi, Marjan Naderan, Seyed Enayatallah Alavi International Conference on Internet of Things and Applications . 2021

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5. Generalized broken-line logistics regression with application to anomaly detection. [D] . Czajkowski, Michal. 2007

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Semi-Supervised Learning Classification Based on Generalized Additive Logistic Regression for Corporate Credit Anomaly Detection

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