A criterion for model selection using minimum description length.
Amir NajmiRichard A. OlshenRobert M. GrayPublished in: SEQUENCES (1997)
Keyphrases
- minimum description length
- model selection
- cross validation
- information theoretic
- mdl principle
- parameter estimation
- hyperparameters
- sample size
- bayesian learning
- statistical learning
- selection criterion
- machine learning
- feature selection
- variable selection
- model selection criteria
- motion segmentation
- regression model
- meta learning
- mixture model
- parameter determination
- statistical inference
- error estimation
- generalization error
- gaussian process
- information criterion
- marginal likelihood
- generalization bounds
- data mining
- mutual information
- automatic model selection