Hypothesis Transfer Learning with Surrogate Classification Losses.
Anass AghbalouGuillaume StaermanPublished in: CoRR (2023)
Keyphrases
- transfer learning
- text classification
- machine learning
- knowledge transfer
- cross domain learning
- learning tasks
- machine learning algorithms
- cross domain
- cross domain text classification
- reinforcement learning
- active learning
- support vector machine
- training set
- label information
- domain adaptation
- decision trees
- learning algorithm
- manifold alignment
- semi supervised learning
- document classification
- feature space
- transfer knowledge
- e learning
- structure learning
- data sets
- multi task
- feature extraction
- support vector
- model selection
- text mining
- collaborative filtering