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%0 Journal Article
%1 hamm2021adaptive
%A Hamm, Thomas
%A Steinwart, Ingo
%D 2021
%I Institute of Mathematical Statistics
%J The annals of statistics
%K
%N 6
%P 3153-3180
%R 10.1214/21-AOS2078
%T Adaptive learning rates for support vector machines working on data with low intrinsic dimension
%V 49
@article{hamm2021adaptive,
added-at = {2023-08-31T16:37:20.000+0200},
affiliation = {Hamm, T (Corresponding Author), Univ Stuttgart, Inst Stochast & Applicat, Stuttgart, Germany.
Hamm, Thomas; Steinwart, Ingo, Univ Stuttgart, Inst Stochast & Applicat, Stuttgart, Germany.},
author = {Hamm, Thomas and Steinwart, Ingo},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28dcf702181d01c4d2d3586c6094d509d/puma-wartung},
doi = {10.1214/21-AOS2078},
interhash = {775016bfeed92d8ee62143eb93798ff1},
intrahash = {8dcf702181d01c4d2d3586c6094d509d},
issn = {0090-5364},
journal = {The annals of statistics},
keywords = {},
language = {eng},
number = 6,
pages = {3153-3180},
publisher = {Institute of Mathematical Statistics},
research-areas = {Mathematics},
timestamp = {2023-08-31T14:37:20.000+0200},
title = {Adaptive learning rates for support vector machines working on data with low intrinsic dimension},
unique-id = {WOS:000730645000005},
volume = 49,
year = 2021
}