## 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 |