Improving the performance of photometric regression models via massive parallel feature selection

Kai Lars Polsterer; Fabian Cristian Gieseke; Christian Igel; Tomotsugu Goto

Improving the performance of photometric regression models via massive parallel feature selection

Kai Lars Polsterer, Fabian Cristian Gieseke, Christian Igel, Tomotsugu Goto

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	Astronomical Data Analysis Software and Systems XXIII
Editors	N. Manset, P. Forshay
Number of pages	4
Volume	485
Publisher	Astronomical Society of the Pacific
Publication date	2014
Pages	425-428
ISBN (Print)	978-1-58381-854-1
ISBN (Electronic)	978-1-58381-855-8
Publication status	Published - 2014
Event	Astronomical Data Analysis Software and Systems XXIII - Waikoloa Beach Marriott, Hawaii, United States Duration: 29 Sep 2013 → 3 Oct 2013 Conference number: 23

Conference

Conference	Astronomical Data Analysis Software and Systems XXIII
Number	23
Location	Waikoloa Beach Marriott
Country/Territory	United States
City	Hawaii
Period	29/09/2013 → 03/10/2013

Series	Astronomical Society of the Pacific. Conference Proceedings
Volume	485
ISSN	1050-3390

Access to Document

Improving the Performance of Photometric Regression Models via Massive Parallel Feature SelectionFinal published version, 15.3 MB

http://www.aspbooks.org/a/volumes/article_details?paper_id=36266

Cite this

Polsterer, K. L., Gieseke, F. C., Igel, C., & Goto, T. (2014). Improving the performance of photometric regression models via massive parallel feature selection. In N. Manset, & P. Forshay (Eds.), Astronomical Data Analysis Software and Systems XXIII (Vol. 485, pp. 425-428). Astronomical Society of the Pacific. Astronomical Society of the Pacific. Conference Proceedings Vol. 485 http://www.aspbooks.org/a/volumes/article_details?paper_id=36266

Improving the performance of photometric regression models via massive parallel feature selection. / Polsterer, Kai Lars; Gieseke, Fabian Cristian ; Igel, Christian; Goto, Tomotsugu.

Astronomical Data Analysis Software and Systems XXIII. ed. / N. Manset; P. Forshay. Vol. 485 Astronomical Society of the Pacific, 2014. p. 425-428 (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Polsterer, KL, Gieseke, FC , Igel, C & Goto, T 2014, Improving the performance of photometric regression models via massive parallel feature selection. in N Manset & P Forshay (eds), Astronomical Data Analysis Software and Systems XXIII. vol. 485, Astronomical Society of the Pacific, Astronomical Society of the Pacific. Conference Proceedings, vol. 485, pp. 425-428, Astronomical Data Analysis Software and Systems XXIII, Hawaii, United States, 29/09/2013. <http://www.aspbooks.org/a/volumes/article_details?paper_id=36266>

Polsterer, Kai Lars ; Gieseke, Fabian Cristian ; Igel, Christian ; Goto, Tomotsugu. / Improving the performance of photometric regression models via massive parallel feature selection. Astronomical Data Analysis Software and Systems XXIII. editor / N. Manset ; P. Forshay. Vol. 485 Astronomical Society of the Pacific, 2014. pp. 425-428 (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

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