Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
面向概念漂移的前瞻性模型适应用于在线时间序列预测
机构 * Shanghai Jiao Tong University(上海交通大学)
AI总结 Proceed 提出一种前瞻性模型适应框架,通过估计和转换概念漂移,提升在线时间序列预测对概念漂移的抗性。
Comments Accepted by KDD 2025. This version fixed typos in Eq. (3)