On generating kernels by fuzzy relations

Autoren Bernhard Moser
TitelOn generating kernels by fuzzy relations
TypTechnischer Bericht
NummerSCCH-TR-0527
OrtHagenberg, Austria
InstitutionSCCH
AbteilungKVS
Jahr2005
SCCH ID#527
Abstract

This paper provides examples of fuzzy similarity relations which are proven to be positive-semidefinite and, therefore, kernels in the sense of Machine Learning. By this approach it is demonstrated how the semantics of fuzzy logic can be used for the construction of kernels.