A Statistical Design of Experiments Approach to Machine Learning Model Selection in Engineering Applications.
Tyler MungerSubhas DesaPublished in: J. Comput. Inf. Sci. Eng. (2021)
Keyphrases
- model selection
- machine learning
- statistical inference
- cross validation
- statistical learning
- hyperparameters
- bayesian learning
- sample size
- generalization error
- hypothesis tests
- parameter estimation
- regression model
- mixture model
- marginal likelihood
- selection criterion
- feature selection
- meta learning
- motion segmentation
- unsupervised learning
- error estimation
- learning machines
- statistical methods
- covariate shift
- model selection criteria
- multivariate regression
- leave one out cross validation
- variable selection
- generalization bounds
- machine learning methods
- statistical models
- naive bayes
- training data
- learning algorithm