Synthetic Data for Model Selection.
Matan FintzAlon ShoshanNadav BhonkerIgor KviatkovskyGérard G. MedioniPublished in: CoRR (2021)
Keyphrases
- model selection
- synthetic data
- cross validation
- bayesian learning
- hyperparameters
- data sets
- meta learning
- real world
- statistical learning
- sample size
- parameter estimation
- machine learning
- mixture model
- regression model
- feature selection
- generalization error
- model selection criteria
- real image data
- statistical inference
- information criterion
- error estimation
- automatic model selection
- parameter determination
- selection criterion
- gaussian process
- variable selection
- motion segmentation
- generalization bounds
- bayesian information criterion
- data mining
- synthetic datasets