Measuring the expressivity of graph kernels through Statistical Learning Theory.
Luca OnetoNicolò NavarinMichele DoniniAlessandro SperdutiFabio AiolliDavide AnguitaPublished in: Neurocomputing (2017)
Keyphrases
- statistical learning theory
- graph kernels
- kernel machines
- support vector
- kernel function
- kernel methods
- machine learning
- semi supervised
- learning problems
- multiple kernel learning
- support vector machine
- semi supervised learning
- multi task
- active learning
- learning machines
- data sets
- reproducing kernel hilbert space
- gaussian processes
- data representation
- inductive inference
- feature selection
- learning algorithm