Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative.
Miao XuBingcong LiGang NiuBo HanMasashi SugiyamaPublished in: CoRR (2019)
Keyphrases
- positive and unlabeled examples
- unlabeled data
- active learning
- positive examples
- labeled and unlabeled data
- positive data
- labeled data
- supervised learning
- negative examples
- semi supervised learning
- learning algorithm
- pu learning
- positive and negative
- semi supervised
- sample selection
- training data
- statistical queries
- co training
- labeled examples
- learning process
- background knowledge
- text classification
- text classifiers
- training set
- supervised learning algorithms
- prior knowledge
- domain adaptation
- class labels
- unlabeled examples
- reinforcement learning
- text categorization
- labeling effort
- transfer learning
- pattern recognition
- machine learning