The asymptotics of semi-supervised learning in discriminative probabilistic models.
Nataliya SokolovskaOlivier CappéFrançois YvonPublished in: ICML (2008)
Keyphrases
- semi supervised learning
- probabilistic model
- discriminative models
- semi supervised
- unsupervised learning
- unlabeled data
- generative model
- labeled data
- graphical models
- semi supervised classification
- expectation maximization
- supervised learning
- active learning
- co training
- mixture model
- language model
- manifold regularization
- label propagation
- conditional random fields
- bayesian networks
- latent variables
- training data
- semi supervised learning algorithms
- learning models
- machine learning
- graph construction
- graph based semi supervised learning
- labeled and unlabeled data
- transfer learning
- multi view
- semi supervised learning methods
- learning tasks
- pairwise
- computer vision