Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation.
Yuya TakashinaShuyo NakataniMasato InouePublished in: CoRR (2018)
Keyphrases
- structure learning
- parameter estimation
- markov random field
- markov networks
- parameter learning
- random fields
- belief propagation
- graph cuts
- conditional random fields
- higher order
- maximum likelihood estimation
- image segmentation
- maximum likelihood
- energy function
- markov logic networks
- maximum a posteriori
- graphical models
- pairwise
- partition function
- least squares
- approximate inference
- maximum margin
- gene regulatory networks
- bayesian networks
- posterior distribution
- model selection
- expectation maximization
- reinforcement learning
- undirected graphical models
- posterior probability
- em algorithm
- structured prediction