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Avoiding overfitting in surrogate modeling: an alternative approach

Huu Minh Nguyen UGent, Ivo Couckuyt UGent, Yvan Saeys UGent, Luc Knockaert UGent, Tom Dhaene UGent and Dirk Gorissen UGent (2011) Proceedings of the twentieth Belgian Dutch conference on machine learning. p.93-94
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
Proceedings of the twentieth Belgian Dutch conference on machine learning
editor
Peter van der Putten, Cor Veenman, Joaquin Vanschoren, Menno Israel and Hendrik Blockeel
pages
93 - 94
conference name
20th Belgian Dutch conference on Machine Learning (BENELEARN 2011)
conference location
The Hague, The Netherlands
conference start
2011-05-20
conference end
2011-05-20
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1268170
handle
http://hdl.handle.net/1854/LU-1268170
date created
2011-06-20 10:45:23
date last changed
2016-12-19 15:37:06
@inproceedings{1268170,
  author       = {Nguyen, Huu Minh and Couckuyt, Ivo and Saeys, Yvan and Knockaert, Luc and Dhaene, Tom and Gorissen, Dirk},
  booktitle    = {Proceedings of the twentieth Belgian Dutch conference on machine learning},
  editor       = {van der Putten, Peter and Veenman, Cor and Vanschoren, Joaquin and Israel, Menno and Blockeel, Hendrik},
  language     = {eng},
  location     = {The Hague, The Netherlands},
  pages        = {93--94},
  title        = {Avoiding overfitting in surrogate modeling: an alternative approach},
  year         = {2011},
}

Chicago
Nguyen, Huu Minh, Ivo Couckuyt, Yvan Saeys, Luc Knockaert, Tom Dhaene, and Dirk Gorissen. 2011. “Avoiding Overfitting in Surrogate Modeling: An Alternative Approach.” In Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning, ed. Peter van der Putten, Cor Veenman, Joaquin Vanschoren, Menno Israel, and Hendrik Blockeel, 93–94.
APA
Nguyen, H. M., Couckuyt, I., Saeys, Y., Knockaert, L., Dhaene, T., & Gorissen, D. (2011). Avoiding overfitting in surrogate modeling: an alternative approach. In P. van der Putten, C. Veenman, J. Vanschoren, M. Israel, & H. Blockeel (Eds.), Proceedings of the twentieth Belgian Dutch conference on machine learning (pp. 93–94). Presented at the 20th Belgian Dutch conference on Machine Learning (BENELEARN 2011).
Vancouver
1.
Nguyen HM, Couckuyt I, Saeys Y, Knockaert L, Dhaene T, Gorissen D. Avoiding overfitting in surrogate modeling: an alternative approach. In: van der Putten P, Veenman C, Vanschoren J, Israel M, Blockeel H, editors. Proceedings of the twentieth Belgian Dutch conference on machine learning. 2011. p. 93–4.
MLA
Nguyen, Huu Minh, Ivo Couckuyt, Yvan Saeys, et al. “Avoiding Overfitting in Surrogate Modeling: An Alternative Approach.” Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning. Ed. Peter van der Putten et al. 2011. 93–94. Print.