at Google ScholarTitle data
Christmann, Andreas ; Xiang, Dao-Hong ; Zhou, Ding-Xuan:
Total stability of kernel methods.
In: Neurocomputing.
Vol. 289
(2018)
.
- pp. 101-118.
ISSN 0925-2312
DOI: https://doi.org/10.1016/j.neucom.2018.02.009
Related URLs
Project information
| Project financing: |
Alexander von Humboldt-Stiftung |
|---|
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics and Machine Learning > Chair Mathematics VII - Stochastics and mashine learning - 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 and Machine Learning |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science > 510 Mathematics |
| Date Deposited: | 02 Oct 2017 11:44 |
| Last Modified: | 07 Aug 2023 13:15 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/39827 |