Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods.
Maryia ShpakPublished in: CoRR (2023)
Keyphrases
- structure learning
- parameter estimation
- maximum likelihood
- graphical models
- parameter learning
- markov networks
- approximate inference
- statistical models
- least squares
- markov logic networks
- bayesian networks
- maximum likelihood estimation
- em algorithm
- random variables
- probabilistic model
- random fields
- conditional independence
- belief propagation
- expectation maximization
- probabilistic graphical models
- model selection
- undirected graphical models
- probabilistic inference
- hyperparameters
- markov random field
- exact inference
- factor graphs
- belief networks
- posterior distribution
- maximum a posteriori
- network structure
- gene regulatory networks
- data mining
- exponential family
- active learning
- image processing
- partition function
- learning algorithm