%0 Journal Article %1 hamm2021adaptive %A Hamm, Thomas %A Steinwart, Ingo %D 2021 %I Institute of Mathematical Statistics %J The annals of statistics %K ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos %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 = {2022-08-17T16:16:00.000+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/unibiblio}, doi = {10.1214/21-AOS2078}, interhash = {775016bfeed92d8ee62143eb93798ff1}, intrahash = {8dcf702181d01c4d2d3586c6094d509d}, issn = {0090-5364}, journal = {The annals of statistics}, keywords = {ubs_10008 ubs_20013 ubs_30126 ubs_40202 unibibliografie wos}, language = {eng}, number = 6, pages = {3153-3180}, publisher = {Institute of Mathematical Statistics}, research-areas = {Mathematics}, timestamp = {2022-08-17T14:16:00.000+0200}, title = {Adaptive learning rates for support vector machines working on data with low intrinsic dimension}, unique-id = {WOS:000730645000005}, volume = 49, year = 2021 }