Approximation of Gaussian process regression models after training
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Standard
Approximation of Gaussian process regression models after training. / Suttorp, Thorsten; Igel, Christian.
ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, 2008. s. 427-432 ES2008-84.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Suttorp, T & Igel, C 2008, Approximation of Gaussian process regression models after training. i ESANN 2008: 16th European Symposium on Artificial Neural Networks., ES2008-84, D-side Publications, s. 427-432, 16th European Symposium on Artificial Neural Networks, Brügge, Belgien, 23/04/2008. <https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2008-84.pdf>
APA
Suttorp, T., & Igel, C. (2008). Approximation of Gaussian process regression models after training. I ESANN 2008: 16th European Symposium on Artificial Neural Networks (s. 427-432). [ES2008-84] D-side Publications. https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2008-84.pdf
Vancouver
Suttorp T, Igel C. Approximation of Gaussian process regression models after training. I ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications. 2008. s. 427-432. ES2008-84
Author
Bibtex
@inproceedings{69f9291195d8456c922711508fe8af0d,
title = "Approximation of Gaussian process regression models after training",
author = "Thorsten Suttorp and Christian Igel",
year = "2008",
language = "English",
isbn = "2-930307-08-0",
pages = "427--432",
booktitle = "ESANN 2008",
publisher = "D-side Publications",
note = "null ; Conference date: 23-04-2008 Through 25-04-2008",
}
RIS
TY - GEN
T1 - Approximation of Gaussian process regression models after training
AU - Suttorp, Thorsten
AU - Igel, Christian
N1 - Conference code: 16
PY - 2008
Y1 - 2008
M3 - Article in proceedings
SN - 2-930307-08-0
SP - 427
EP - 432
BT - ESANN 2008
PB - D-side Publications
Y2 - 23 April 2008 through 25 April 2008
ER -
ID: 168558953