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Universal consistency and robustness of localized support vector machines

Title data

Dumpert, Florian ; Christmann, Andreas:
Universal consistency and robustness of localized support vector machines.
In: Neurocomputing. Vol. 315 (2018) . - pp. 96-106.
ISSN 0925-2312
DOI: https://doi.org/10.1016/j.neucom.2018.06.061

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Machine learning; Universal consistency; Robustness; Localized learning; Reproducing kernel Hilbert space
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics > Chair Mathematics VII - Stochastics - Univ.-Prof. Dr. Andreas Christmann
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 18 Sep 2018 07:03
Last Modified: 18 Sep 2018 07:03
URI: https://eref.uni-bayreuth.de/id/eprint/45816