https://scholars.lib.ntu.edu.tw/handle/123456789/581365
標題: | Cost Learning Network for Imbalanced Classification | 作者: | Tu C.-Y HSUAN-TIEN LIN |
關鍵字: | Benchmarking; Classification (of information); Learning systems; Cost information; Cost learning; Cost matrices; Cost-sensitive; Cost-sensitive learning; Imbalanced classification; Imbalanced Data-sets; Reinforcement learning | 公開日期: | 2020 | 起(迄)頁: | 47-51 | 來源出版物: | Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 | 摘要: | This paper proposes a method to improve the performance of imbalanced classification via reinforcement learning and cost-sensitive learning. Since the cost information is usually unavailable for cost-sensitive learning, we incorporate reinforcement learning to optimize the specified metric by adjusting the cost-matrix for the underlying cost-sensitive classifiers. Our experiment results show that, with the learned cost-matrix, the cost-sensitive classifiers can achieve better performance on several benchmark imbalanced data sets. ? 2020 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103812750&doi=10.1109%2fTAAI51410.2020.00017&partnerID=40&md5=5b74bda8ff534927cc9bf6c2ac6fb13b https://scholars.lib.ntu.edu.tw/handle/123456789/581365 |
DOI: | 10.1109/TAAI51410.2020.00017 |
顯示於: | 資訊工程學系 |
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