Source Selection in Transfer Learning for Improved Service Performance Predictions.
Hannes LarssonJalil TaghiaFarnaz MoradiAndreas JohnssonPublished in: Networking (2021)
Keyphrases
- transfer learning
- source selection
- learning tasks
- labeled data
- knowledge transfer
- data fusion
- cross domain
- machine learning
- reinforcement learning
- semi supervised learning
- transfer knowledge
- domain adaptation
- active learning
- text categorization
- target domain
- collaborative filtering
- text classification
- text mining
- distributed information retrieval
- databases
- unlabeled data
- transferring knowledge
- machine learning algorithms
- multi task
- peer to peer
- similarity measure
- feature selection