Measuring the expressivity of graph kernels through Statistical Learning Theory-Reference-Cited by-同舟云学术

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Measuring the expressivity of graph kernels through Statistical Learning Theory

Published:2017-12 Issue: Volume:268 Page:4-16
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Oneto Luca^ORCID,Navarin Nicolò,Donini Michele,Sperduti Alessandro,Aiolli Fabio,Anguita Davide

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference71 articles.

1. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond;Schölkopf,2002

2. Statistical Learning Theory;Vapnik,1998

3. Kernel methods in machine learning;Hofmann;Ann. Stat.,2008

4. Predicting Structured Data;Bakir,2007

5. Multiple kernel learning algorithms;Gönen;J. Mach. Learn. Res.,2011

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