Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data.
Gang NiuMarthinus Christoffel du PlessisTomoya SakaiMasashi SugiyamaPublished in: CoRR (2016)
Keyphrases
- positive and unlabeled examples
- positive examples
- negative examples
- positive data
- unlabeled data
- positive and negative
- pu learning
- supervised learning
- labeled and unlabeled data
- active learning
- semi supervised learning
- labeled data
- statistical queries
- semi supervised
- training data
- text classifiers
- learning algorithm
- text classification
- co training
- training set
- learning tasks
- unlabeled examples
- transductive learning
- learning process
- supervised learning algorithms
- prior knowledge
- labeling effort
- supervised and semi supervised
- labeled examples
- training examples
- learning problems
- class labels
- partially labeled
- background knowledge
- information retrieval
- semi supervised classification
- training instances
- dimensionality reduction
- text categorization
- learning models