Non-parametric Semi-supervised Learning by Bayesian Label Distribution Propagation.
Jonatan Møller Nuutinen GøttckeArthur ZimekRicardo J. G. B. CampelloPublished in: SISAP (2021)
Keyphrases
- semi supervised learning
- label propagation
- semi supervised
- unlabeled data
- multi label classification
- labeled data
- multi instance learning
- semi supervised classification
- supervised learning
- machine learning
- manifold regularization
- covariate shift
- partially labeled
- co training
- training data
- learning problems
- active learning
- dirichlet process mixture models
- probability density function
- unsupervised learning
- class labels
- text categorization
- bayesian networks
- labeled examples
- multi label
- multi instance
- transfer learning
- gaussian processes
- domain adaptation
- data sets
- graph based semi supervised learning
- unlabeled instances
- multiple instance learning
- labeled and unlabeled data
- learning models
- semi supervised clustering
- data mining
- pairwise
- semi supervised learning methods
- information extraction
- model selection
- unlabeled samples
- generative model