On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms.
Nicolás García TrillosZachary KaplanThabo SamakhoanaDaniel Sanz-AlonsoPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- semi supervised learning
- semi supervised
- semi supervised learning methods
- unlabeled data
- semi supervised learning algorithms
- uci datasets
- labeled data
- label propagation
- graph based semi supervised learning
- learning models
- machine learning
- learning algorithm
- semi supervised support vector machines
- graph construction
- unsupervised learning
- supervised learning
- learning problems
- semi supervised classification
- training data
- computer vision
- training examples
- active learning
- manifold regularization
- domain adaptation
- markov chain monte carlo
- labeled and unlabeled data
- text mining