Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection.
Sang-Yun OhOnkar DalalKshitij KhareBala RajaratnamPublished in: CoRR (2014)
Keyphrases
- model selection
- optimization methods
- optimization method
- cross validation
- hyperparameters
- simulated annealing
- statistical learning
- optimization problems
- sample size
- parameter estimation
- machine learning
- regression model
- mixture model
- markov networks
- feature selection
- random fields
- gaussian process
- information criterion
- marginal likelihood
- variable selection
- high dimensional
- genetic algorithm
- higher order
- evolutionary algorithm
- probabilistic graphical models
- bayesian information criterion