Approximation with polynomial kernels and SVM classifiers.
Ding-Xuan ZhouKurt JetterPublished in: Adv. Comput. Math. (2006)
Keyphrases
- polynomial kernels
- svm classifier
- support vector machine
- kernel function
- support vector
- support vector machine svm
- multi class
- hyperplane
- kernel methods
- machine learning
- k nearest neighbor
- feature selection
- feature space
- gaussian kernels
- linear classifiers
- feature vectors
- training set
- high dimensional feature space
- support vectors
- training data
- radial basis function
- cost sensitive
- learning algorithm
- kernel matrix
- binary classification
- image processing
- input space
- classification method
- hyperparameters
- cross validation
- positive definite
- neural network
- pattern recognition
- high dimensional