Decisior Implementation in Neural Model Selection by Multi-objective Optimization.
Roselito de Albuquerque TeixeiraAntônio de Pádua BragaRicardo H. C. TakahashiRodney R. SaldanhaPublished in: SBRN (2002)
Keyphrases
- model selection
- multi objective optimization
- multi objective
- cross validation
- evolutionary algorithm
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- regression model
- multi objective optimization problems
- selection criterion
- multiple objectives
- model selection criteria
- generalization error
- error estimation
- genetic algorithm
- neural network
- feature selection
- statistical inference
- mixture model
- machine learning
- marginal likelihood
- information criterion
- variable selection
- multi objective genetic algorithm
- pareto optimal
- nsga ii
- parameter determination
- differential evolution
- multiobjective optimization
- network architecture
- bayesian information criterion
- optimization algorithm
- automatic model selection
- bayesian methods
- bi objective
- multi objective evolutionary algorithms
- closed form
- fitness function
- particle swarm optimization
- feature set
- multi objective genetic algorithms
- pareto frontier
- pareto optimal set