Transfer learning extensions for the probabilistic classification vector machine.
Christoph RaabFrank-Michael SchleifPublished in: CoRR (2020)
Keyphrases
- transfer learning
- text classification
- machine learning
- learning tasks
- knowledge transfer
- machine learning algorithms
- cross domain learning
- text categorization
- labeled data
- multi task learning
- decision trees
- active learning
- bayesian networks
- cross domain text classification
- feature space
- feature extraction
- cross domain
- structure learning
- unsupervised learning
- neural network
- support vector
- training set
- collaborative filtering
- label information
- transfer knowledge
- feature selection
- semi supervised learning
- reinforcement learning
- multi task
- supervised learning