Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning.
Nicolás García TrillosDaniel Sanz-AlonsoRuiyi YangPublished in: CoRR (2022)
Keyphrases
- semi supervised learning
- mathematical foundations
- semi supervised
- semi supervised learning methods
- label propagation
- graph based semi supervised learning
- labeled data
- unlabeled data
- graph construction
- covariate shift
- supervised learning
- unsupervised learning
- co training
- semi supervised classification
- active learning
- semi supervised learning algorithms
- manifold regularization
- machine learning
- improve the classification accuracy
- bayesian networks
- transfer learning
- multi view
- domain adaptation
- labeled examples
- pairwise
- regularization framework
- opinion detection
- metric learning
- maximum likelihood
- unlabeled instances
- data sets
- k nearest neighbor
- training data
- feature extraction
- graph transduction