Online Transfer Learning for Concept Drifting Data Streams.
Helen McKayNathan GriffithsPhillip TaylorTheo DamoulasZhou XuPublished in: BigMine@KDD (2019)
Keyphrases
- transfer learning
- concept drifting data streams
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- reinforcement learning
- machine learning
- active learning
- semi supervised learning
- text categorization
- machine learning algorithms
- text classification
- transfer knowledge
- multi task learning
- text mining
- learning algorithm
- decision trees
- multi task
- target domain
- classifier ensemble
- unlabeled data
- similarity measure
- knowledge sharing
- feature extraction
- feature selection
- prior knowledge
- supervised learning
- collaborative filtering