學生：王懷葳
指導教授：藍俊宏教授
論文名稱：基於深度集成模型的飄移偵測與預測區間估計之線上學習架構
論文摘要：
Utilizing Data & Model Uncertainty to design an online learning framework that can provide prediction interval to help decision-making
- Design drift detection for p(E|X)
- Design learning mechanism for Deep Ensembles (Drift-aware optimizer and learning rate)
- Show the status of the model to tell users to be caution
- Increase adaptability and reliability
Experiment shows that DEAPI can provides
- more narrow prediction interval than other existing methods
- more precise prediction interval for decision-making
論文海報：
