Balanced Resampling for Neural Model Selection.
Wen-Liang HungShun-Chin ChuangPublished in: ICNC (3) (2009)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- sample size
- regression model
- machine learning
- statistical learning
- feature selection
- generalization error
- meta learning
- selection criterion
- statistical inference
- marginal likelihood
- gaussian process
- error estimation
- mixture model
- bayesian model selection
- parameter determination
- image segmentation
- model selection criteria
- hypothesis testing
- automatic model selection
- posterior distribution
- variable selection
- bayesian information criterion
- generalization bounds
- motion segmentation
- data sets