Transfer learning for the probabilistic classification vector machine.
Christoph RaabFrank-Michael SchleifPublished in: COPA (2018)
Keyphrases
- transfer learning
- text classification
- machine learning
- machine learning algorithms
- learning tasks
- cross domain text classification
- labeled data
- knowledge transfer
- cross domain learning
- decision trees
- semi supervised learning
- supervised learning
- class labels
- reinforcement learning
- structure learning
- transfer knowledge
- training set
- feature vectors
- label information
- probabilistic model
- multi task
- feature extraction
- model selection
- feature space
- support vector
- text mining
- manifold alignment
- cross domain
- domain adaptation
- data sets
- bayesian networks
- learning algorithm
- semi supervised
- active learning
- face recognition
- feature selection
- data mining