Parallel Cross-Validation of Artificial Neural Networks.
Eduard P. P. A. DerksWillem J. MelssenLutgarde M. C. BuydensPublished in: SNN Symposium on Neural Networks (1995)
Keyphrases
- cross validation
- artificial neural networks
- model selection
- support vector
- regression problems
- training set
- variable selection
- generalization error
- neural network
- cross validated
- hyperparameters
- regularization parameter
- error estimates
- information criterion
- leave one out cross validation
- genetic algorithm ga
- back propagation
- multilayer perceptron
- sample size
- active learning
- feature space
- learning algorithm
- genetic algorithm
- data mining
- data sets