Bayesian Trigonometric Support Vector Classifier.
Wei ChuS. Sathiya KeerthiChong Jin OngPublished in: Neural Comput. (2003)
Keyphrases
- support vector
- svm classifier
- support vector machine
- feature selection
- training examples
- logistic regression
- loss function
- cross validation
- kernel function
- svm classification
- classification accuracy
- soft margin
- decision function
- bayesian networks
- classification process
- binary classification
- large margin classifiers
- feature space
- classification method
- hyperplane
- generalization ability
- margin maximization
- bayes rule
- learning algorithm
- maximum margin
- multi class classification
- training data
- linear classifiers
- support vectors
- hyperparameters
- bayesian inference
- posterior probability
- basis functions
- discrete fourier transform
- maximum likelihood
- feature set
- high dimensional
- training set