Speedy greedy feature selection: better redshift estimation via massive parallelism

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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. red. / M. Verleysen. i6doc.com, 2014. s. 87-92.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Gieseke, FC, Polsterer, KL, Oancea, CE & Igel, C 2014, Speedy greedy feature selection: better redshift estimation via massive parallelism. i M Verleysen (red.), ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com, s. 87-92, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014, Bruges, Belgien, 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. I M. Verleysen (red.), ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (s. 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. I Verleysen M, red., ESANN 2014 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com. 2014. s. 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. red. / M. Verleysen. i6doc.com, 2014. s. 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 -

ID: 112885573