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• W2744140147 abstract "The existing credit rating system of China's bond market is relatively unreliable. Credit rating results have no effect on warning risks, but the downgrade of the bond and its issuer is timely and objective when risk events or bad performances occurring. In this paper, we intend to predict the downgrade of the bond directly. By analyzing and decomposing the problem, we propose a cost-sensitive temporal multi-task (CsTM) model framework using multi-source data. The experiment results prove that the CsTM model framework can promote the performance of common classifiers on predicting downgrades of bonds." @default.
• W2744140147 created "2017-08-17" @default.
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• W2744140147 date "2017-06-01" @default.
• W2744140147 modified "2023-09-26" @default.
• W2744140147 title "Temporal Multi-task Model Framework Using Multi-source Data for Bonds Credit Assessment" @default.
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• W2744140147 doi "https://doi.org/10.1109/dsc.2017.85" @default.
• W2744140147 hasPublicationYear "2017" @default.
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