at Google ScholarTitle 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 |