Multi-Objective Optimization for SVM Model Selection.
Clément ChatelainSébastien AdamYves LecourtierLaurent HeutteThierry PaquetPublished in: ICDAR (2007)
Keyphrases
- multi objective optimization
- model selection
- multi objective
- feature selection
- selection criterion
- support vector machine svm
- cross validation
- support vector
- evolutionary algorithm
- learning machines
- hyperparameters
- machine learning
- support vector machine
- bayesian learning
- pareto optimal
- multi objective optimization problems
- genetic algorithm
- parameter estimation
- grid search
- knn
- sample size
- statistical inference
- regression model
- model selection criteria
- training set
- nsga ii
- svm classifier
- variable selection
- statistical learning
- mixture model
- error estimation
- multiple objectives
- multi objective genetic algorithms
- bi objective
- differential evolution
- information criterion
- gaussian process
- support vectors
- marginal likelihood
- generalization error
- kernel methods
- multi objective genetic algorithm
- generalization bounds
- kernel function
- parameter determination
- automatic model selection
- multi objective evolutionary algorithms
- bayesian methods
- generalization ability
- particle swarm optimization
- optimization problems
- classification accuracy
- feature space
- objective function
- training data