Exploiting Ontology Structures and Unlabeled Data for Learning.
Nina BalcanAvrim BlumYishay MansourPublished in: ICML (3) (2013)
Keyphrases
- unlabeled data
- supervised learning
- learning algorithm
- active learning
- labeled data
- semi supervised learning
- semi supervised
- labeled and unlabeled data
- supervised learning algorithms
- co training
- positive examples
- domain adaptation
- training data
- unsupervised learning
- learning process
- background knowledge
- prior knowledge
- learning tasks
- knowledge representation
- data points
- pairwise
- training set
- text classification
- labeled training data
- positive and unlabeled examples
- partially labeled data
- learning problems
- training examples
- machine learning
- probabilistic model
- reinforcement learning
- feature selection
- information retrieval