Standard
Speedy greedy feature selection : better redshift estimation via massive parallelism. / Gieseke, Fabian Cristian; Polsterer, Kai Lars; Oancea, Cosmin Eugen; Igel, Christian.
ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ed. / M. Verleysen. i6doc.com, 2014. p. 87-92.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Gieseke, FC, Polsterer, KL
, Oancea, CE & Igel, C 2014,
Speedy greedy feature selection: better redshift estimation via massive parallelism. in M Verleysen (ed.),
ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com, pp. 87-92, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014, Bruges, Belgium,
23/04/2014. <
https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-171.pdf>
APA
Gieseke, F. C., Polsterer, K. L.
, Oancea, C. E., & Igel, C. (2014).
Speedy greedy feature selection: better redshift estimation via massive parallelism. In M. Verleysen (Ed.),
ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 87-92). i6doc.com.
https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-171.pdf
Vancouver
Gieseke FC, Polsterer KL, Oancea CE, Igel C. Speedy greedy feature selection: better redshift estimation via massive parallelism. In Verleysen M, editor, ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com. 2014. p. 87-92
Author
Gieseke, Fabian Cristian ; Polsterer, Kai Lars ; Oancea, Cosmin Eugen ; Igel, Christian. / Speedy greedy feature selection : better redshift estimation via massive parallelism. ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. editor / M. Verleysen. i6doc.com, 2014. pp. 87-92
Bibtex
@inproceedings{e4584f8633544ef78f91ed3ef50e381c,
title = "Speedy greedy feature selection: better redshift estimation via massive parallelism",
author = "Gieseke, {Fabian Cristian} and Polsterer, {Kai Lars} and Oancea, {Cosmin Eugen} and Christian Igel",
year = "2014",
language = "English",
isbn = "978-287419095-7",
pages = "87--92",
editor = "M. Verleysen",
booktitle = "ESANN 2014 proceedings",
publisher = "i6doc.com",
note = "European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014, ESANN 2014 ; Conference date: 23-04-2014 Through 25-04-2014",
}
RIS
TY - GEN
T1 - Speedy greedy feature selection
T2 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014
AU - Gieseke, Fabian Cristian
AU - Polsterer, Kai Lars
AU - Oancea, Cosmin Eugen
AU - Igel, Christian
PY - 2014
Y1 - 2014
M3 - Article in proceedings
SN - 978-287419095-7
SP - 87
EP - 92
BT - ESANN 2014 proceedings
A2 - Verleysen, M.
PB - i6doc.com
Y2 - 23 April 2014 through 25 April 2014
ER -