Multi-objective neural network model selection with a graph-based large margin approach.
Luiz C. B. TorresCristiano Leite CastroHonovan P. RochaGustavo Matheus de AlmeidaAntônio P. BragaPublished in: Inf. Sci. (2022)
Keyphrases
- model selection
- multi objective
- neural network
- cross validation
- genetic algorithm
- evolutionary algorithm
- sample size
- parameter estimation
- hyperparameters
- bayesian learning
- regression model
- variable selection
- error estimation
- mixture model
- gaussian process
- support vector
- parameter determination
- selection criterion
- generalization error
- feature selection
- statistical learning
- statistical inference
- semi supervised
- marginal likelihood
- leave one out cross validation
- machine learning
- model selection criteria
- objective function
- bayesian methods
- linear classifiers
- similarity measure
- learning algorithm
- automatic model selection
- bayesian information criterion
- back propagation
- information criterion