Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.
Xuetong WuJonathan H. MantonUwe AickelinJingge ZhuPublished in: CoRR (2021)
Keyphrases
- transfer learning
- prior knowledge
- labeled data
- knowledge transfer
- cross domain
- learning tasks
- active learning
- reinforcement learning
- machine learning
- text classification
- semi supervised learning
- multi task
- learning algorithm
- transfer knowledge
- machine learning algorithms
- text categorization
- structure learning
- unlabeled data
- transferring knowledge
- target domain
- collaborative filtering
- domain adaptation
- semi supervised
- text mining
- multi task learning
- domain knowledge
- training data
- generative model
- data sets
- domain specific
- supervised learning
- multi class
- decision trees
- neural network