Granular Twin Support Vector Machines Based on Mixture Kernel Function.
Xiuxi WeiHuajuan HuangPublished in: ICIC (3) (2015)
Keyphrases
- kernel function
- support vector
- large margin classifiers
- learning machines
- kernel methods
- support vector machine
- support vectors
- hyperplane
- high dimensional feature space
- kernel matrix
- positive definite
- input space
- svm classifier
- feature space
- mixture model
- polynomial kernels
- kernel parameters
- high dimensional
- svm classification
- support vector regression
- classification accuracy
- kernel machines
- gaussian kernels
- reproducing kernel hilbert space
- kernel learning
- expectation maximization
- feature selection
- feature set
- hyperparameters
- multiple kernel learning
- cross validation
- reduced set
- rbf kernel
- generalization ability
- kernel trick
- neural network
- training examples
- learning algorithm
- data mining