Semi-supervised learning with Bayesian Confidence Propagation Neural Network.
Naresh Balaji RavichandranAnders LansnerPawel Andrzej HermanPublished in: ESANN (2021)
Keyphrases
- semi supervised learning
- neural network
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- supervised learning
- machine learning
- semi supervised classification
- manifold regularization
- training data
- high confidence
- label propagation
- bayesian networks
- improve the classification accuracy
- active learning
- covariate shift
- dirichlet process mixture models
- domain adaptation
- learning models
- co training
- semi supervised learning algorithms
- semi supervised learning methods
- graph based semi supervised learning
- pattern recognition
- metric learning
- transfer learning
- class labels
- graph construction
- regularization framework
- maximum likelihood
- probabilistic model
- support vector