Towards a Framework for Designing Full Model Selection and Optimization Systems.
Quan SunBernhard PfahringerMichael MayoPublished in: MCS (2013)
Keyphrases
- model selection
- cross validation
- statistical inference
- parameter estimation
- regression model
- bayesian model selection
- hyperparameters
- mixture model
- motion segmentation
- machine learning
- bayesian learning
- sample size
- error estimation
- meta learning
- model selection criteria
- information criterion
- statistical learning
- generalization error
- bayesian framework
- gaussian process
- marginal likelihood
- variable selection
- automatic model selection