Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data.
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%0 Conference Paper
%1 conf/ijcnn/KuckCF16
%A Kück, Mirko
%A Crone, Sven F.
%A Freitag, Michael
%B IJCNN
%D 2016
%I IEEE
%K dblp
%P 1499-1506
%T Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data.
%U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#KuckCF16
%@ 978-1-5090-0620-5
@inproceedings{conf/ijcnn/KuckCF16,
added-at = {2021-03-26T00:00:00.000+0100},
author = {Kück, Mirko and Crone, Sven F. and Freitag, Michael},
biburl = {https://www.bibsonomy.org/bibtex/25b3cfe196c6b82883491e070217eaa65/dblp},
booktitle = {IJCNN},
crossref = {conf/ijcnn/2016},
ee = {https://doi.org/10.1109/IJCNN.2016.7727376},
interhash = {fd1d09477e3de8059c924869703e0909},
intrahash = {5b3cfe196c6b82883491e070217eaa65},
isbn = {978-1-5090-0620-5},
keywords = {dblp},
pages = {1499-1506},
publisher = {IEEE},
timestamp = {2024-04-10T10:29:55.000+0200},
title = {Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data.},
url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#KuckCF16},
year = 2016
}
