Fast training of support vector machines using top-down kernel clustering.
Xiao-Zhang LiuHui-Zhen QiuPublished in: ISKE (2008)
Keyphrases
- support vector
- learning machines
- kernel function
- large margin classifiers
- kernel methods
- training examples
- kernel machines
- clustering algorithm
- linear svm
- clustering method
- rbf kernel
- logistic regression
- data clustering
- k means
- decision function
- cross validation
- classification accuracy
- hierarchical clustering
- training algorithm
- support vectors
- radial basis function
- binary classification
- similarity function
- loss function
- generalization ability
- kernel parameters
- support vector machine
- feature space
- feature selection
- reduced set
- learning problems
- training samples
- multi class
- hyperplane
- learning algorithm
- neural network
- hidden markov random fields
- standard svm
- positive definite
- polynomial kernels
- support vector regression
- density estimation
- fuzzy c means
- spectral clustering
- distance metric
- self organizing maps
- high dimensional data
- model selection
- data points
- training set
- decision trees
- machine learning