A Statistically-Based Approach to Feedforward Neural Network Model Selection.
Andrew McInerneyKevin BurkePublished in: CoRR (2022)
Keyphrases
- model selection
- feedforward neural networks
- cross validation
- neural network
- back propagation
- recurrent neural networks
- hyperparameters
- sample size
- parameter estimation
- marginal likelihood
- feature selection
- mixture model
- gaussian process
- machine learning
- hidden layer
- variable selection
- regression model
- statistical inference
- selection criterion
- activation function
- information criterion
- training algorithm
- automatic model selection
- bayesian information criterion
- training data
- decision trees
- data mining