Measures of Model Interpretability for Model Selection.
André M. CarringtonPaul W. FieguthHelen H. ChenPublished in: CD-MAKE (2018)
Keyphrases
- model selection
- bayesian learning
- parameter estimation
- statistical model
- information criterion
- probabilistic model
- cross validation
- hyperparameters
- likelihood function
- motion segmentation
- leave one out cross validation
- bayesian information criterion
- probability model
- statistical inference
- selection criterion
- gaussian process
- machine learning
- sample size
- maximum likelihood
- prior knowledge
- high dimensional