Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms
C. Thornton, F. Hutter, H. Hoos, and K. Leyton-Brown. Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, page 847--855. ACM, (2013)
Wichtiges Paper, da Auto-sklearn auf diesem aufbaut. Die Grundprinzipien von AutoML werden erklärt.
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%0 Conference Paper
%1 thornton2013auto
%A Thornton, Chris
%A Hutter, Frank
%A Hoos, Holger H
%A Leyton-Brown, Kevin
%B Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
%D 2013
%K
%P 847--855
%T Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms
%U https://arxiv.org/pdf/1208.3719
@inproceedings{thornton2013auto,
added-at = {2019-07-01T12:23:45.000+0200},
author = {Thornton, Chris and Hutter, Frank and Hoos, Holger H and Leyton-Brown, Kevin},
biburl = {https://www.bibsonomy.org/bibtex/2d87b76e5e6e7d942d0000761e2226193/tobi95},
booktitle = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining},
interhash = {f2c548b6ef5527135ed36915a2bed429},
intrahash = {d87b76e5e6e7d942d0000761e2226193},
keywords = {},
organization = {ACM},
pages = {847--855},
timestamp = {2019-07-01T12:23:45.000+0200},
title = {Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms},
url = {https://arxiv.org/pdf/1208.3719},
year = 2013
}