Model Selection: Beyond the Bayesian/Frequentist Divide.
Isabelle GuyonAmir SaffariGideon DrorGavin C. CawleyPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- model selection
- bayesian learning
- marginal likelihood
- bayesian model selection
- statistical inference
- cross validation
- hyperparameters
- bayesian methods
- covariate shift
- bayesian approaches
- parameter estimation
- posterior distribution
- regression model
- sample size
- motion segmentation
- gaussian process
- mixture model
- variable selection
- maximum likelihood
- machine learning
- generalization error
- statistical learning
- feature selection
- information criterion
- meta learning
- error estimation
- generalization bounds
- parameter determination
- bayesian networks
- gaussian processes
- posterior probability
- model selection criteria