Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/iccS/FadikarWC21
%A Fadikar, Arindam
%A Wild, Stefan M.
%A Chaves-Montero, Jonas
%B ICCS (5)
%D 2021
%E Paszynski, Maciej
%E Kranzlmüller, Dieter
%E Krzhizhanovskaya, Valeria V.
%E Dongarra, Jack J.
%E Sloot, Peter M. A.
%I Springer
%K dblp
%P 245-258
%T Scalable Statistical Inference of Photometric Redshift via Data Subsampling.
%U http://dblp.uni-trier.de/db/conf/iccS/iccS2021-5.html#FadikarWC21
%V 12746
%@ 978-3-030-77977-1
@inproceedings{conf/iccS/FadikarWC21,
added-at = {2021-06-15T00:00:00.000+0200},
author = {Fadikar, Arindam and Wild, Stefan M. and Chaves-Montero, Jonas},
biburl = {https://www.bibsonomy.org/bibtex/20345678f5e6431e305c1e06c9247abd2/dblp},
booktitle = {ICCS (5)},
crossref = {conf/iccS/2021-5},
editor = {Paszynski, Maciej and Kranzlmüller, Dieter and Krzhizhanovskaya, Valeria V. and Dongarra, Jack J. and Sloot, Peter M. A.},
ee = {https://doi.org/10.1007/978-3-030-77977-1_19},
interhash = {e1a788e81f42148dea18b16e41afcf0d},
intrahash = {0345678f5e6431e305c1e06c9247abd2},
isbn = {978-3-030-77977-1},
keywords = {dblp},
pages = {245-258},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T20:35:42.000+0200},
title = {Scalable Statistical Inference of Photometric Redshift via Data Subsampling.},
url = {http://dblp.uni-trier.de/db/conf/iccS/iccS2021-5.html#FadikarWC21},
volume = 12746,
year = 2021
}