Adversarial Semi-supervised Learning for Corporate Credit Ratings | |
冯博 靖![]() | |
发表期刊 | Journal of Software
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2021 | |
卷号 | 16期号:6页码:259-266 |
摘要 | Corporate credit rating is an analysis of credit risks withina corporation, which plays a vital role during the management of financial risk. Traditionally, the rating assessment process based on the historical profile of corporation is usually expensive and complicated, which often takes months. Therefore, most of the corporations, duetothelack in money and time, can’t get their own credit level. However, we believe that although these corporations haven’t their credit rating levels (unlabeled data), this big data contains useful knowledgeto improve credit system. In this work, its major challenge lies in how to effectively learn the knowledge from unlabeled data and help improve the performance of the credit rating system. Specifically, we consider the problem of adversarial semi-supervised learning (ASSL) for corporate credit rating which has been rarely researched before. A novel framework adversarial semi-supervised learning for corporate credit rating (ASSL4CCR) which includes two phases is proposed to address these problems. In the first phase, we train a normal rating system via a machine-learning algorithm to give unlabeled data pseudo rating level. Then in the second phase, adversarial semi-supervised learning is applied uniting labeled data and pseudo-labeleddatato build the final model. To demonstrate the effectiveness of the proposed ASSL4CCR, we conduct extensive experiments on the Chinese public-listed corporate rating dataset, which proves that ASSL4CCR outperforms the state-of-the-art methods consistently. |
关键词 | Adversarial learning corporate credit ratings financial risk semi-supervised learning |
收录类别 | 其他 |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48467 |
专题 | 模式识别实验室 |
作者单位 | 中科院自动化研究所 |
推荐引用方式 GB/T 7714 | 冯博 靖. Adversarial Semi-supervised Learning for Corporate Credit Ratings[J]. Journal of Software,2021,16(6):259-266. |
APA | 冯博 靖.(2021).Adversarial Semi-supervised Learning for Corporate Credit Ratings.Journal of Software,16(6),259-266. |
MLA | 冯博 靖."Adversarial Semi-supervised Learning for Corporate Credit Ratings".Journal of Software 16.6(2021):259-266. |
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