On generating kernels by fuzzy relations

Author(s) Bernhard Moser
Title On generating kernels by fuzzy relations
Typ Techreport
Institution SCCH
Year 2005
Address Hagenberg, Austria
Number SCCH-TR-0527
SCCH # 0527
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.