at Google ScholarTitle data
Christmann, Andreas ; Steinwart, Ingo:
Universal Kernels on Non-Standard Input Spaces.
In: Lafferty, John D. ; Williams, C. K. I. ; Shawe-Taylor, J. ; Zemel, R. S. ; Culotta, A.
(ed.):
Advances in Neural Information Processing Systems 23. Volume 1. -
Red Hook, NY
: Curran
,
2010
. - pp. 406-414
Related URLs
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | universal consistency; complete separable metric space; universal kernel; dense;
RKHS; reproducing kernel Hilbert space; kernel on set of all probability measures |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics VII - Stochastics 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 |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 310 Statistics 500 Science > 510 Mathematics |
| Date Deposited: | 19 Oct 2015 07:13 |
| Last Modified: | 19 Oct 2015 07:13 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/20522 |