CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting.
Zhengyang ZhouJiahao ShiHongbo ZhangQiongyu ChenXu WangHongyang ChenYang WangPublished in: WSDM (2024)
Keyphrases
- learning process
- main contribution
- learning algorithm
- learning systems
- knowledge acquisition
- reinforcement learning
- real time
- inference process
- learning analytics
- learning frameworks
- long term
- online learning
- distributed learning
- theoretical framework
- design principles
- multi task
- learning scheme
- background knowledge
- spatiotemporal databases
- learning mechanism
- traffic flow
- training set
- unsupervised learning
- video sequences
- spatio temporal