Parameter Learning for Log-supermodular Distributions.
Tatiana ShpakovaFrancis R. BachPublished in: CoRR (2016)
Keyphrases
- parameter learning
- bayesian networks
- structure learning
- statistical learning
- generative model
- conditional random fields
- em algorithm
- maximum likelihood
- probability distribution
- approximate inference
- random variables
- markov random field
- expectation maximization
- parameter estimation
- graphical models
- hidden variables
- image processing
- probabilistic model
- posterior probability
- conditional probabilities
- network structure
- upper bound
- markov networks
- recommender systems