Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions.
Ke ChenShihai WangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2011)
Keyphrases
- semi supervised learning
- semi supervised
- labeled data
- unlabeled data
- regularization framework
- semi supervised classification
- partially labeled data
- boosting framework
- supervised learning
- semi supervised learning algorithms
- active learning
- manifold regularization
- co training
- labeled examples
- unsupervised learning
- semisupervised learning
- label propagation
- machine learning
- multi view
- pairwise
- semi supervised clustering
- semi supervised learning methods
- graph based semi supervised learning
- pairwise constraints
- labeled and unlabeled data
- domain adaptation
- data sets
- learning models
- transfer learning
- unlabeled samples
- data points
- labeled training data
- low rank
- weakly supervised
- training data
- metric learning