Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction.
Luheng HeJennifer GillenwaterBen TaskarPublished in: CoNLL (2013)
Keyphrases
- structured prediction
- semi supervised
- gaussian process
- approximate inference
- conditional random fields
- semi supervised learning
- latent variables
- maximum margin
- labeled data
- markov networks
- posterior distribution
- probabilistic model
- unlabeled data
- multi view
- posterior probability
- efficient learning
- active learning
- pairwise
- generative model
- supervised learning
- probability distribution
- pairwise constraints
- metric learning
- convex optimization
- graphical models
- belief networks
- learning algorithm
- bayesian framework
- prior information
- maximum likelihood
- belief propagation