A GA-based model selection for smooth twin parametric-margin support vector machine.
Zhen WangYuan-Hai ShaoTie-Ru WuPublished in: Pattern Recognit. (2013)
Keyphrases
- model selection
- support vector machine
- soft margin
- generalization error
- parameter selection
- support vector
- decision boundary
- feature selection
- cross validation
- maximum margin
- machine learning
- parameter estimation
- hyperparameters
- bayesian learning
- training set
- sample size
- mixture model
- regression model
- svm classifier
- leave one out cross validation
- model selection criteria
- statistical learning
- motion segmentation
- kernel function
- multi class
- marginal likelihood
- support vector machine svm
- training data
- information criterion
- feature space
- error estimation
- variable selection
- hyperplane
- statistical inference
- support vectors
- feature vectors
- bayesian methods
- gaussian process
- generalization ability
- kernel matrix
- genetic algorithm ga
- selection criterion