at Google ScholarTitle data
Christmann, Andreas ; Dumpert, Florian ; Xiang, Dao-Hong:
On extension theorems and their connection to universal consistency in machine learning.
In: Analysis and Applications.
Vol. 14
(2016)
Issue 6
.
- pp. 795-808.
ISSN 0219-5305
DOI: https://doi.org/10.1142/S0219530516400029
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: | 31 Oct 2016 10:09 |
| Last Modified: | 07 Aug 2023 13:13 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/35027 |