Combination of Active Learning and Semi-Supervised Learning under a Self-Training Scheme.
Nikos FazakisVasileios G. KanasChristos K. AridasStamatis KarlosSotiris KotsiantisPublished in: Entropy (2019)
Keyphrases
- semi supervised learning
- active learning
- semi supervised
- unlabeled data
- labeled data
- co training
- supervised learning
- semi supervised classification
- learning problems
- machine learning
- training examples
- labeled examples
- transfer learning
- regularization framework
- unlabeled examples
- unsupervised learning
- training data
- random sampling
- training set
- manifold regularization
- label propagation
- learning models
- abundant unlabeled data
- semi supervised learning methods
- unlabeled instances
- data sets
- learning algorithm
- pairwise
- multi class
- information retrieval
- learning process
- kernel methods
- feature selection
- high dimensional