Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization.
Kien DoTruyen TranSvetha VenkateshPublished in: CoRR (2020)
Keyphrases
- semi supervised learning
- regularization framework
- variational bayesian inference
- manifold regularization
- semi supervised
- unlabeled data
- multi view learning
- labeled data
- supervised learning
- bayesian analysis
- training data
- semi supervised classification
- machine learning
- latent dirichlet allocation
- unsupervised learning
- active learning
- co training
- topic models
- labeled and unlabeled data
- conditional probabilities
- prior information
- transfer learning
- pairwise
- data mining