A Provably Correct Learning Algorithm for Latent-Variable PCFGs.
Shay B. CohenMichael CollinsPublished in: ACL (1) (2014)
Keyphrases
- latent variables
- provably correct
- learning algorithm
- probabilistic model
- random variables
- formal methods
- latent variable models
- prior knowledge
- hierarchical model
- topic models
- situation calculus
- real valued
- active learning
- machine learning
- machine learning algorithms
- gaussian process
- reinforcement learning
- supervised learning
- training data
- learning problems
- labeled data
- hidden variables
- probabilistic latent semantic analysis
- observed variables
- probability distribution
- latent space
- data sets