Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks.
Li ChouPracheta SahooSomdeb SarkhelNicholas RuozziVibhav GogatePublished in: AAAI (2018)
Keyphrases
- markov networks
- parameter learning
- structure learning
- probabilistic graphical models
- maximum likelihood
- bayesian networks
- conditional random fields
- graphical models
- hidden variables
- markov random field
- probabilistic model
- generative model
- belief propagation
- em algorithm
- first order logic
- posterior probability
- expectation maximization
- approximate inference
- statistical learning
- parameter estimation
- document classification
- bayesian inference
- least squares
- probabilistic inference
- higher order
- information extraction
- inductive logic programming
- latent variables
- data points
- topic models
- graph cuts
- hidden markov models
- pairwise
- decision trees