Minimum description length principle for maximum entropy model selection.
Gaurav PandeyAmbedkar DukkipatiPublished in: ISIT (2013)
Keyphrases
- maximum entropy
- model selection
- minimum description length principle
- cross validation
- maximum entropy principle
- hyperparameters
- regression model
- parameter estimation
- machine learning
- sample size
- mixture model
- conditional random fields
- variable selection
- model selection criteria
- generalization error
- selection criterion
- bayesian information criterion
- marginal likelihood
- feature space
- information criterion
- bayesian methods
- level set
- likelihood function
- gaussian process
- training data
- feature selection
- unsupervised learning