A neural network approach to forecasting model selection.
Jeffrey E. SohlA. R. VenkatachalamPublished in: Inf. Manag. (1995)
Keyphrases
- model selection
- neural network
- cross validation
- prediction model
- regression model
- hyperparameters
- parameter estimation
- model selection criteria
- sample size
- bayesian learning
- error estimation
- statistical learning
- motion segmentation
- meta learning
- neural network model
- artificial neural networks
- variable selection
- back propagation
- generalization error
- parameter determination
- feature selection
- bayesian model selection
- machine learning
- mixture model
- statistical inference
- information criterion
- marginal likelihood
- bp neural network
- selection criterion
- bayesian methods
- support vector machine
- automatic model selection