Self-taught learning: transfer learning from unlabeled data.
Rajat RainaAlexis BattleHonglak LeeBenjamin PackerAndrew Y. NgPublished in: ICML (2007)
Keyphrases
- transfer learning
- unlabeled data
- labeled data
- learning tasks
- semi supervised learning
- active learning
- domain adaptation
- learning algorithm
- labeled and unlabeled data
- transfer knowledge
- sample selection bias
- multi view learning
- supervised learning
- knowledge transfer
- co training
- semi supervised
- reinforcement learning
- labeled examples
- positive examples
- training data
- multi task
- multi task learning
- text classification
- training examples
- background knowledge
- cross domain
- target domain
- source domain
- learning problems
- unsupervised learning
- learning process
- text categorization
- learning models
- data sets
- prior knowledge
- kernel methods
- data points
- collaborative filtering
- model selection