Bayesian Semi-supervised learning under nonparanormality.
Rui ZhuSubhashis GhosalPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- covariate shift
- labeled data
- supervised learning
- unsupervised learning
- semi supervised classification
- active learning
- machine learning
- co training
- dirichlet process mixture models
- learning problems
- improve the classification accuracy
- graph based semi supervised learning
- manifold regularization
- maximum likelihood
- training data
- regularization framework
- labeled examples
- bayesian networks
- domain adaptation
- data sets
- semi supervised learning algorithms
- machine learning algorithms
- graph transduction
- label propagation
- learning models
- transfer learning
- multi view
- text mining
- pairwise
- decision trees
- data mining