Boosting Semi-Supervised Learning by bridging high and low-confidence predictions.
Khanh-Binh NguyenJoon-Sung YangPublished in: CoRR (2023)
Keyphrases
- semi supervised learning
- boosting framework
- semisupervised learning
- unlabeled data
- semi supervised
- labeled data
- machine learning
- supervised learning
- label propagation
- labeled examples
- learning problems
- active learning
- co training
- learning models
- partially labeled data
- semi supervised classification
- semi supervised learning algorithms
- high confidence
- unsupervised learning
- training data
- manifold regularization
- semi supervised learning methods
- improve the classification accuracy
- boosting algorithms
- base classifiers
- domain adaptation
- base learners
- weak classifiers
- text categorization
- graph based semi supervised learning
- cost sensitive
- training samples
- text classification
- pairwise
- class labels
- opinion detection
- e learning