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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

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 proceedingArticle in proceedingsResearchpeer-review

Harvard

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>

APA

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

Vancouver

Polsterer KL, Gieseke FC, Igel C, Goto T. Improving the performance of photometric regression models via massive parallel feature selection. In Manset N, Forshay P, editors, Astronomical Data Analysis Software and Systems XXIII. Vol. 485. Astronomical Society of the Pacific. 2014. p. 425-428. (Astronomical Society of the Pacific. Conference Proceedings, Vol. 485).

Author

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).

Bibtex

@inproceedings{3bc771f2a72a4e0e9bae050932abf662,
title = "Improving the performance of photometric regression models via massive parallel feature selection",
author = "Polsterer, {Kai Lars} and Gieseke, {Fabian Cristian} and Christian Igel and Tomotsugu Goto",
year = "2014",
language = "English",
isbn = "978-1-58381-854-1",
volume = "485",
series = "Astronomical Society of the Pacific. Conference Proceedings",
publisher = "Astronomical Society of the Pacific",
pages = "425--428",
editor = "N. Manset and P. Forshay",
booktitle = "Astronomical Data Analysis Software and Systems XXIII",
note = "null ; Conference date: 29-09-2013 Through 03-10-2013",

}

RIS

TY - GEN

T1 - Improving the performance of photometric regression models via massive parallel feature selection

AU - Polsterer, Kai Lars

AU - Gieseke, Fabian Cristian

AU - Igel, Christian

AU - Goto, Tomotsugu

N1 - Conference code: 23

PY - 2014

Y1 - 2014

M3 - Article in proceedings

SN - 978-1-58381-854-1

VL - 485

T3 - Astronomical Society of the Pacific. Conference Proceedings

SP - 425

EP - 428

BT - Astronomical Data Analysis Software and Systems XXIII

A2 - Manset, N.

A2 - Forshay, P.

PB - Astronomical Society of the Pacific

Y2 - 29 September 2013 through 3 October 2013

ER -

ID: 168055065