Avoiding overfitting in surrogate modeling: an alternative approach
- Author
- Huu Minh Nguyen, Ivo Couckuyt (UGent) , Yvan Saeys (UGent) , Luc Knockaert (UGent) , Tom Dhaene (UGent) and Dirk Gorissen (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1268170
- MLA
- Nguyen, Huu Minh, et al. “Avoiding Overfitting in Surrogate Modeling: An Alternative Approach.” Proceedings of the Twentieth Belgian Dutch Conference on Machine Learning, edited by Peter van der Putten et al., 2011, pp. 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).
- Chicago author-date
- 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, edited by Peter van der Putten, Cor Veenman, Joaquin Vanschoren, Menno Israel, and Hendrik Blockeel, 93–94.
- Chicago author-date (all authors)
- 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 by. Peter van der Putten, Cor Veenman, Joaquin Vanschoren, Menno Israel, and Hendrik Blockeel, 93–94.
- 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.
- IEEE
- [1]H. M. Nguyen, I. Couckuyt, Y. Saeys, L. Knockaert, T. Dhaene, and D. Gorissen, “Avoiding overfitting in surrogate modeling: an alternative approach,” in Proceedings of the twentieth Belgian Dutch conference on machine learning, The Hague, The Netherlands, 2011, pp. 93–94.
@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}},
}