Can semi-supervised learning reduce the amount of manual labelling required for effective radio galaxy morphology classification?
Inigo V. SlijepcevicAnna M. M. ScaifePublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised classification
- improve the classification accuracy
- semi supervised
- labeled data
- unlabeled data
- machine learning
- co training
- uci datasets
- unsupervised learning
- transductive support vector machine
- semi supervised learning algorithms
- supervised learning algorithms
- labeled and unlabeled data
- class labels
- text classification
- training data
- manifold regularization
- active learning
- pattern recognition
- text categorization
- classification accuracy
- unlabeled samples
- decision trees
- instance selection
- label propagation
- data mining
- support vector machine
- graph construction
- feature extraction
- training set
- supervised classification
- feature space
- learning tasks
- transfer learning
- training samples
- metric learning
- image classification
- feature selection
- labeled instances
- label information
- multi view
- learning algorithm
- semi supervised learning methods
- reinforcement learning
- kernel function