Kernel Methods for Graphs: A Comprehensive Approach.
Francesco CamastraAlfredo PetrosinoPublished in: KES (2) (2008)
Keyphrases
- kernel methods
- graph kernels
- kernel function
- learning problems
- support vector
- machine learning
- support vector machine
- kernel matrix
- similarity function
- feature space
- learning tasks
- kernel pca
- kernel matrices
- kernel learning
- high dimensional feature space
- multiple kernel learning
- kernel trick
- multiple kernel
- graph mining
- neural network
- reproducing kernel hilbert space
- kernel fisher discriminant analysis
- clustering algorithm
- kernel principal component analysis
- kernel based clustering