Network Model Selection Using Task-Focused Minimum Description Length.
Ivan BrugereTanya Y. Berger-WolfPublished in: CoRR (2017)
Keyphrases
- model selection
- minimum description length
- cross validation
- hyperparameters
- bayesian learning
- regression model
- parameter estimation
- statistical learning
- mdl principle
- model selection criteria
- error estimation
- generalization error
- feature selection
- motion segmentation
- statistical inference
- machine learning
- variable selection
- network structure
- sample size
- selection criterion
- mixture model
- bayesian model selection
- automatic model selection
- information criterion
- meta learning
- information theoretic
- marginal likelihood
- parameter determination
- decision trees
- computer vision
- bayesian methods
- leave one out cross validation