Posterior Regularization for Structured Latent Variable Models.
Kuzman GanchevJoão GraçaJennifer GillenwaterBen TaskarPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- latent variable models
- latent variables
- posterior distribution
- structured output
- probabilistic model
- gaussian process
- real valued
- latent dirichlet allocation
- hidden markov models
- hidden variables
- probability distribution
- structured data
- latent space
- random variables
- markov chain monte carlo
- reinforcement learning
- natural language processing
- bayesian learning
- gaussian processes
- bayesian framework
- learning problems
- learning tasks
- missing values
- text mining