Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
Eric L. ManibardoIbai LañaJavier Del SerPublished in: ITSC (2020)
Keyphrases
- transfer learning
- online learning
- data availability
- active learning
- knowledge transfer
- cross domain
- reinforcement learning
- data access
- data replication
- collaborative filtering
- e learning
- distributed systems
- machine learning
- text categorization
- labeled data
- machine learning algorithms
- transfer knowledge
- learning algorithm
- semi supervised learning
- text mining
- semi supervised
- data points
- communication overhead
- database
- unlabeled data
- information extraction
- quality of service
- training set
- data structure
- databases
- real time