Accuracy of latent-variable estimation in Bayesian semi-supervised learning.
Keisuke YamazakiPublished in: Neural Networks (2015)
Keyphrases
- semi supervised learning
- latent variables
- semi supervised
- unlabeled data
- posterior distribution
- supervised learning
- labeled data
- co training
- training data
- learning problems
- unsupervised learning
- active learning
- semi supervised classification
- machine learning
- label propagation
- maximum likelihood
- probabilistic model
- transfer learning
- gaussian process
- classification accuracy
- labeled and unlabeled data
- prior knowledge
- manifold regularization
- real valued
- latent variable models
- graph based semi supervised learning
- random variables
- topic models
- text classification
- bayesian networks
- maximum a posteriori
- em algorithm
- labeled instances
- data analysis