Learning to Adapt Classifier for Imbalanced Semi-supervised Learning.
Renzhen WangXixi JiaQuanziang WangDeyu MengPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- labeled and unlabeled data
- co training
- supervised learning
- learning problems
- unlabeled data
- semi supervised
- unsupervised learning
- labeled data
- active learning
- learning algorithm
- training data
- boosting framework
- learning tasks
- machine learning
- learning process
- graph transduction
- multi view learning
- semi supervised classification
- multiple kernel learning
- domain adaptation
- learning models
- sample selection bias
- prior knowledge
- covariate shift
- labeled instances
- decision trees
- transfer learning
- instance selection
- text classification
- unlabeled samples
- graph based semi supervised learning
- manifold regularization
- reinforcement learning
- partially labeled
- pairwise
- class labels
- probabilistic model