Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach.
Yidan SunGuiyuan JiangSiew Kei LamPeilan HePublished in: IJCAI (2021)
Keyphrases
- meta learning
- traffic congestion
- learning tasks
- inductive learning
- traffic flow
- travel time
- model selection
- machine learning algorithms
- urban areas
- decision trees
- machine learning
- feature selection
- data mining
- information services
- base classifiers
- data sets
- naive bayes
- traffic data
- learning experience
- classification accuracy
- intrusion detection
- unsupervised learning
- feature extraction
- image processing
- real world