Transfer learning for ensembles: reducing computation time and keeping the diversity.
Ilya ShashkovNikita BalabinEvgeny BurnaevAlexey ZaytsevPublished in: CoRR (2022)
Keyphrases
- transfer learning
- learning tasks
- cross domain
- labeled data
- knowledge transfer
- active learning
- reinforcement learning
- transfer knowledge
- semi supervised learning
- classifier ensemble
- collaborative filtering
- manifold alignment
- structure learning
- multi task learning
- machine learning
- multi task
- target domain
- domain adaptation
- learning algorithm
- previously learned
- unlabeled data
- machine learning algorithms
- databases
- text classification
- semi supervised
- ensemble methods
- test data
- multi class
- knowledge discovery
- training data
- decision trees
- artificial intelligence
- data mining