Concept Drift-Tolerant Transfer Learning in Dynamic Environments.
Cuie YangYiu-Ming CheungJinliang DingKay Chen TanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- dynamic environments
- concept drift
- transfer learning
- data streams
- learning tasks
- non stationary
- change detection
- reinforcement learning
- machine learning
- knowledge transfer
- labeled data
- active learning
- classification algorithm
- mobile robot
- text classification
- data distribution
- cross domain
- collaborative filtering
- multi task
- text categorization
- multi task learning
- semi supervised learning
- transfer knowledge
- learning algorithm
- machine learning algorithms
- reinforcement learning agents
- data sets
- text mining
- data structure
- training data
- supervised learning
- semi supervised
- class labels
- bayesian networks
- training set
- recommender systems
- image registration
- support vector machine