Genetic Algorithms for Support Vector Machine Model Selection.
Stefan LessmannRobert StahlbockSven F. CronePublished in: IJCNN (2006)
Keyphrases
- model selection
- support vector machine
- genetic algorithm
- feature selection
- cross validation
- machine learning
- intelligent data mining
- hyperparameters
- bayesian learning
- parameter estimation
- error estimation
- support vector machine svm
- support vector
- regression model
- parameter optimization
- kernel function
- sample size
- mixture model
- svm classifier
- variable selection
- kernel methods
- statistical inference
- feature vectors
- selection criterion
- learning machines
- statistical learning theory
- marginal likelihood
- model selection criteria
- statistical learning
- automatic model selection
- knn
- bayesian methods
- gaussian process
- motion segmentation
- bayesian networks
- simulated annealing
- feature space
- generalization error
- generalization ability
- leave one out cross validation
- training data
- support vector regression
- posterior probability
- generalization bounds
- genetic algorithm ga
- bayesian information criterion