Model selection and explainability in neural networks using a polytope interpolation framework.
Sarath ShekkizharAntonio OrtegaPublished in: ACSCC (2021)
Keyphrases
- model selection
- neural network
- cross validation
- statistical inference
- parameter estimation
- sample size
- bayesian learning
- machine learning
- regression model
- bayesian model selection
- hyperparameters
- mixture model
- model selection criteria
- statistical learning
- data mining
- meta learning
- selection criterion
- error estimation
- leave one out cross validation
- bayesian framework
- automatic model selection
- bayesian methods
- gaussian process
- motion segmentation