Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection.
Alejandro Rosales-PérezHugo Jair EscalanteJesus A. GonzalezCarlos A. Reyes GarcíaCarlos Artemio Coello CoelloPublished in: IbPRIA (2013)
Keyphrases
- multi objective optimization
- model selection
- learning machines
- cross validation
- multi objective
- support vector
- hyperparameters
- evolutionary algorithm
- selection criterion
- low variance
- parameter estimation
- bayesian learning
- hypothesis tests
- generalization error
- sample size
- nsga ii
- regression model
- feature selection
- machine learning
- mixture model
- multi objective optimization problems
- error estimation
- multi objective genetic algorithm
- genetic algorithm
- differential evolution
- pareto optimal set
- statistical inference
- information criterion
- automatic model selection
- multi objective genetic algorithms
- support vector machine
- marginal likelihood
- bi objective
- pareto optimal
- optimization algorithm
- multiple objectives
- multi objective evolutionary algorithms
- optimization problems
- model selection criteria
- variable selection
- graphical models
- objective function
- kernel function