Model selection in Neural Networks: Some difficulties.
Bruce CurryPeter H. MorganPublished in: Eur. J. Oper. Res. (2006)
Keyphrases
- model selection
- neural network
- cross validation
- statistical learning
- regression model
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- gaussian process
- machine learning
- motion segmentation
- mixture model
- meta learning
- model selection criteria
- selection criterion
- statistical inference
- error estimation
- information criterion
- generalization error
- parameter determination
- automatic model selection
- back propagation
- bayesian methods
- variable selection
- unsupervised learning
- real world
- image registration
- leave one out cross validation
- probabilistic model
- marginal likelihood
- training data
- data sets