A theory of transfer learning with applications to active learning.
Liu YangSteve HannekeJaime G. CarbonellPublished in: Mach. Learn. (2013)
Keyphrases
- transfer learning
- active learning
- learning tasks
- labeled data
- knowledge transfer
- cross domain
- reinforcement learning
- machine learning
- collaborative filtering
- structure learning
- learning algorithm
- domain adaptation
- multi task
- semi supervised
- semi supervised learning
- training examples
- algorithmic information theory
- learning process
- unlabeled data
- text classification
- manifold alignment
- text categorization
- multi task learning
- target domain
- supervised learning
- machine learning algorithms
- information extraction
- support vector
- similarity measure
- decision trees
- text mining
- labeled examples
- transfer knowledge
- transferring knowledge
- neural network