Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
Eric L. ManibardoIbai LañaJavier Del SerPublished in: CoRR (2020)
Keyphrases
- transfer learning
- online learning
- data availability
- active learning
- knowledge transfer
- reinforcement learning
- labeled data
- data replication
- distributed systems
- machine learning
- data access
- collaborative filtering
- machine learning algorithms
- text classification
- semi supervised learning
- text categorization
- cross domain
- communication overhead
- transfer knowledge
- real time
- e learning
- communication cost
- learning algorithm
- unlabeled data
- knowledge discovery
- training data
- information retrieval