PUAL: A Classifier on Trifurcate Positive-Unlabeled Data.
Xiaoke WangXiaochen YangRui ZhuJing-Hao XuePublished in: CoRR (2024)
Keyphrases
- unlabeled data
- pu learning
- labeled training data
- labeled data
- co training
- training data
- labeled and unlabeled data
- semi supervised learning
- semi supervised
- class labels
- training set
- unlabeled examples
- training examples
- active learning
- supervised learning
- positive and unlabeled examples
- learning algorithm
- sample selection bias
- instance selection
- labeled instances
- text classification
- decision boundary
- positive examples
- supervised classifiers
- labeled examples
- text categorization
- semi supervised learning methods
- semi supervised classification
- data points
- unlabeled samples
- positive and negative
- labeling effort
- prior knowledge
- class distribution
- domain adaptation
- unlabeled images
- transfer learning
- text classifiers
- supervised learning algorithms
- unlabeled instances
- feature selection
- transductive learning
- single view
- svm classifier
- feature extraction
- decision trees