PM2.5 forecasting under distribution shift: A graph learning approach.
Yachuan LiuJiaqi MaParamveer DhillonQiaozhu MeiPublished in: AI Open (2024)
Keyphrases
- learning process
- supervised learning
- learning algorithm
- reinforcement learning
- machine learning
- bipartite graph
- long term
- probability distribution
- short term
- inductive inference
- learning analytics
- graph matching
- learning problems
- learning tasks
- background knowledge
- structured data
- unsupervised learning
- knowledge acquisition
- active learning
- prior knowledge