Classifier Invariant Approach to Learn from Positive-Unlabeled Data.
Amit DhurandharKarthik S. GurumoorthyPublished in: ICDM (2020)
Keyphrases
- unlabeled data
- labeled data
- labeled training data
- co training
- pu learning
- semi supervised learning
- labeled and unlabeled data
- training data
- semi supervised
- class labels
- unlabeled examples
- unlabeled images
- training set
- sample selection bias
- training examples
- supervised learning
- positive and unlabeled examples
- active learning
- labeled instances
- text classification
- learning algorithm
- semi supervised classification
- positive examples
- labeled examples
- text categorization
- decision boundary
- data points
- positive and negative
- partially labeled
- supervised classifiers
- unsupervised learning
- domain adaptation
- unlabeled samples
- instance selection
- labeling effort
- training samples
- prior knowledge
- semi supervised learning methods
- text classifiers
- decision trees
- unlabeled instances
- data mining
- transductive learning
- training instances
- learning tasks
- transfer learning
- multi view
- support vector machine
- data sets
- linear classifiers
- target domain
- test data
- active learner
- feature selection