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Avoiding overfitting in surrogate modeling: an alternative approach

Huu Minh Nguyen, Ivo Couckuyt (UGent) , Yvan Saeys (UGent) , Luc Knockaert (UGent) , Tom Dhaene (UGent) and Dirk Gorissen (UGent)
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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}},
}