Quantum enhanced cross-validation for near-optimal neural networks architecture selection.
Priscila G. M. dos SantosRodrigo S. SousaIsmael C. S. AraujoAdenilton J. da SilvaPublished in: CoRR (2018)
Keyphrases
- cross validation
- neural network
- model selection
- hyperparameters
- support vector
- variable selection
- regression problems
- cross validated
- training set
- regularization parameter
- error estimates
- information criterion
- generalization error
- selection criterion
- neural network model
- artificial neural networks
- genetic algorithm
- database
- ls svm
- fault diagnosis
- feature extraction
- machine learning
- akaike information criterion