Optimal learning rates for least squares SVMs using Gaussian kernels
M. Eberts, and I. Steinwart. Advances in Neural Information Processing Systems 24, page 1539--1547. (2011)http://books.nips.cc/papers/files/nips24/NIPS2011_0874.extra.zip.
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%0 Conference Paper
%1 EbSt11a
%A Eberts, M.
%A Steinwart, I.
%B Advances in Neural Information Processing Systems 24
%D 2011
%E Shawe-Taylor, J.
%E Zemel, R.S.
%E Bartlett, P.
%E Pereira, F.C.N.
%E Weinberger, K.Q.
%K from:ingosteinwart svms
%P 1539--1547
%T Optimal learning rates for least squares SVMs using Gaussian kernels
@inproceedings{EbSt11a,
added-at = {2021-07-05T20:19:51.000+0200},
author = {Eberts, M. and Steinwart, I.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/258cf7f6dfe28ea72361eee706fe088ec/mathematik},
booktitle = {Advances in Neural Information Processing Systems 24},
editor = {Shawe-Taylor, J. and Zemel, R.S. and Bartlett, P. and Pereira, F.C.N. and Weinberger, K.Q.},
interhash = {9aab9e69734abca9213ed78b7bd5c1b4},
intrahash = {58cf7f6dfe28ea72361eee706fe088ec},
keywords = {from:ingosteinwart svms},
note = {\url{http://books.nips.cc/papers/files/nips24/NIPS2011_0874.extra.zip}},
pages = {1539--1547},
timestamp = {2021-07-05T18:19:51.000+0200},
title = {Optimal learning rates for least squares {SVM}s using {G}aussian kernels},
year = 2011
}
