Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review.
Daniel AhfockGeoffrey J. McLachlanPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- co training
- training data
- unlabeled data
- semi supervised
- labeled training data
- labeled and unlabeled data
- labeled data
- semi supervised support vector machines
- weakly labeled data
- multi label classification
- semi supervised learning methods
- supervised learning
- unlabeled samples
- boosting framework
- supervised learning algorithms
- instance selection
- machine learning
- manifold regularization
- unsupervised learning
- class labels
- active learning
- text categorization
- label propagation
- learning problems
- labeled samples
- semi supervised classification
- machine learning algorithms
- semi supervised learning algorithms
- domain adaptation
- learning models
- supervised classification
- decision trees
- support vector
- training set
- learning algorithm
- e learning
- graph based semi supervised learning
- transfer learning
- training samples
- support vector machine
- pattern recognition
- unlabeled instances
- labeled examples
- text classification
- training examples
- training instances
- linear classifiers
- decision boundary