Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective.
Song LiuKenji FukumizuPublished in: SDM (2016)
Keyphrases
- transfer learning
- text classification
- machine learning
- labeled data
- knowledge transfer
- probabilistic model
- learning tasks
- cross domain learning
- semi supervised learning
- manifold alignment
- machine learning algorithms
- cross domain text classification
- feature selection
- active learning
- supervised learning
- cross domain
- bayesian networks
- support vector
- reinforcement learning
- decision trees
- structure learning
- document classification
- class labels
- text categorization
- support vector machine
- feature vectors
- data mining
- multi task
- feature extraction
- domain adaptation
- text mining
- cross validation
- posterior probability
- object recognition
- feature space
- domain specific
- class probabilities
- algorithmic information theory