Deep Bayesian Active Semi-Supervised Learning.
Matthias RottmannKarsten KahlHanno GottschalkPublished in: ICMLA (2018)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- machine learning
- unsupervised learning
- covariate shift
- semi supervised classification
- supervised learning
- co training
- manifold regularization
- dirichlet process mixture models
- improve the classification accuracy
- active learning
- learning problems
- label propagation
- domain adaptation
- labeled examples
- labeled and unlabeled data
- graph based semi supervised learning
- training data
- semi supervised learning methods
- transfer learning
- learning models
- regularization framework
- semi supervised learning algorithms
- bayesian networks
- data sets
- information retrieval
- learning algorithm
- graph construction
- maximum likelihood
- class labels