On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.
Katsuyuki HagiwaraPublished in: Neural Comput. (2002)
Keyphrases
- model selection
- neural network
- cross validation
- regression model
- hyperparameters
- sample size
- bayesian learning
- parameter estimation
- gaussian process
- error estimation
- statistical learning
- selection criterion
- back propagation
- mixture model
- generalization error
- feature selection
- machine learning
- artificial neural networks
- variable selection
- meta learning
- learning machines
- statistical inference
- bayesian model selection
- support vector regression
- parameter determination
- bayesian methods
- bp neural network
- mutual information
- leave one out cross validation
- information criterion
- marginal likelihood
- model selection criteria
- automatic model selection