Fast Kernel Methods for SVM Sequence Classifiers.
Pavel P. KuksaVladimir PavlovicPublished in: WABI (2007)
Keyphrases
- kernel methods
- support vector
- kernel function
- svm classifier
- support vector machine
- multiple kernel learning
- learning problems
- feature space
- binary classification
- kernel parameters
- learning tasks
- kernel matrix
- reproducing kernel hilbert space
- classification algorithm
- multi class
- gaussian kernel
- tree kernels
- gaussian kernels
- machine learning
- hyperplane
- learning machines
- support vectors
- kernel pca
- svm training
- training examples
- support vector machine svm
- feature selection
- decision trees
- training data
- training set
- data sets
- kernel ridge regression
- kernel matrices
- multiple kernel
- decision boundary
- high dimensional feature space
- generalization ability
- classification accuracy
- svm classification
- feature set
- maximum margin
- training samples
- loss function
- input space
- support vector regression
- multiclass classification
- kernel principal component analysis
- knn