Parameter Estimation for Undirected Graphical Models With Hard Constraints.
Bhaswar B. BhattacharyaKavita RamananPublished in: IEEE Trans. Inf. Theory (2021)
Keyphrases
- parameter estimation
- hard constraints
- undirected graphical models
- partition function
- markov random field
- approximate inference
- graph cuts
- posterior distribution
- soft constraints
- structure learning
- conditional random fields
- graphical models
- maximum likelihood
- exact inference
- random fields
- cost function
- constraint satisfaction problems
- constraint satisfaction
- em algorithm
- least squares
- model selection
- statistical models
- factor graphs
- belief propagation
- search space
- maximum likelihood estimation
- expectation maximization
- image segmentation
- markov networks
- probabilistic graphical models
- probabilistic model
- markov chain monte carlo
- parameter learning
- higher order
- message passing
- pairwise
- hidden variables
- maximum a posteriori
- structured prediction
- probability distribution
- hyperparameters
- probabilistic inference
- optimal solution