When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters.
Ziquan FangDongen WuLu PanLu ChenYunjun GaoPublished in: IJCAI (2022)
Keyphrases
- transfer learning
- spatio temporal
- learning tasks
- urban areas
- urban planning
- knowledge transfer
- public transport
- labeled data
- machine learning
- learning algorithm
- multi task learning
- cross domain
- transfer knowledge
- text categorization
- semi supervised learning
- domain adaptation
- active learning
- public transportation
- prediction model
- multi task
- reinforcement learning
- manifold alignment
- target domain
- machine learning algorithms
- previously learned
- context sensitive
- text classification
- collaborative filtering
- image sequences
- natural language
- transferring knowledge
- cross domain learning
- artificial intelligence
- similarity measure
- natural language processing
- text mining
- expectation maximization