The Pessimistic Limits of Margin-based Losses in Semi-supervised Learning.
Jesse H. KrijtheMarco LoogPublished in: CoRR (2016)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- semi supervised classification
- supervised learning
- co training
- pairwise constraints
- machine learning
- unsupervised learning
- training data
- manifold regularization
- learning problems
- multi class
- active learning
- label propagation
- labeled and unlabeled data
- graph based semi supervised learning
- semi supervised learning algorithms
- improve the classification accuracy
- regularization framework
- generalization error
- class labels
- learning models
- transfer learning
- data points
- domain adaptation
- unlabeled samples
- text classification
- pattern recognition