Hebbian semi-supervised learning in a sample efficiency setting.
Gabriele LaganiFabrizio FalchiClaudio GennaroGiuseppe AmatoPublished in: Neural Networks (2021)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- semi supervised classification
- supervised learning
- labeled samples
- label propagation
- training data
- learning problems
- co training
- machine learning
- manifold regularization
- active learning
- sample size
- transfer learning
- metric learning
- labeled examples
- labeled and unlabeled data
- semi supervised learning methods
- semi supervised learning algorithms
- improve the classification accuracy
- decision trees
- domain adaptation
- text classification
- multi view
- training set
- graph based semi supervised learning