Interpretability of support vector machines

Tamás Kenesei, J. Abonyi

Research output: Chapter


Application of support vector methods for the initialization of fuzzy models is not a completely new idea. Numerous methods have been proposed to build the connection between the SVR and the FIS.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
Number of pages12
Publication statusPublished - jan. 1 2015

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Kenesei, T., & Abonyi, J. (2015). Interpretability of support vector machines. In SpringerBriefs in Computer Science (9783319219417 ed., pp. 49-60). (SpringerBriefs in Computer Science; No. 9783319219417). Springer.