Speedy greedy feature selection: better redshift estimation via massive parallelism

Fabian Cristian Gieseke; Kai Lars Polsterer; Cosmin Eugen Oancea; Christian Igel

Speedy greedy feature selection: better redshift estimation via massive parallelism

Fabian Cristian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel

Datalogisk Institut

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

7 Citationer (Scopus)

Originalsprog	Engelsk
Titel	ESANN 2014 proceedings : European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Redaktører	M. Verleysen
Antal sider	6
Forlag	i6doc.com
Publikationsdato	2014
Sider	87-92
ISBN (Trykt)	978-287419095-7
Status	Udgivet - 2014
Begivenhed	European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014 - Bruges, Belgien Varighed: 23 apr. 2014 → 25 apr. 2014

Konference

Konference	European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2014
Land/Område	Belgien
By	Bruges
Periode	23/04/2014 → 25/04/2014

Adgang til dokumentet

Speedy Greedy Feature Selection: Better Redshift Estimation via Massive ParallelismForlagets udgivne version, 1,31 MB

https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-171.pdf

Citationsformater

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

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/rapport › Konferencebidrag i proceedings › Forskning › peer review

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>

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title = "Speedy greedy feature selection: better redshift estimation via massive parallelism",

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AU - Igel, Christian

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