Axiomatic Kernels on Graphs for Support Vector Machines.
Marcin OrchelJohan A. K. SuykensPublished in: ICANN (Workshop) (2019)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- kernel methods
- graph kernels
- support vector machine
- positive definite kernels
- multiple kernel learning
- cross validation
- rbf kernel
- multi class
- generalization bounds
- classification accuracy
- kernel parameters
- radial basis function
- polynomial kernels
- logistic regression
- kernel machines
- maximum margin
- feature selection
- loss function
- graph matching
- margin maximization
- generalization ability
- graph mining
- learning algorithm
- machine learning
- graph theory
- support vectors
- support vector classification
- weighted graph
- high dimensional
- training examples
- binary classification
- soft margin
- hyperplane
- axiomatic characterization
- pairwise
- svm classifier
- learning problems
- decision function
- positive definite
- support vector regression
- graph data
- multi class classification
- graph model
- ls svm