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MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost

Nicolas Knudde (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)
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Please use this url to cite or link to this publication:

MLA
Knudde, Nicolas, Ivo Couckuyt, and Tom Dhaene. “MFITS : Bayesian Active Learning with Support for Continuous Fidelity Parameters and Variable Cost.” 6th ICML Workshop on Automated Machine Learning. 2019. 1–8. Print.
APA
Knudde, N., Couckuyt, I., & Dhaene, T. (2019). MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost. 6th ICML Workshop on Automated Machine Learning (pp. 1–8). Presented at the 6th ICML Workshop on Automated Machine Learning.
Chicago author-date
Knudde, Nicolas, Ivo Couckuyt, and Tom Dhaene. 2019. “MFITS : Bayesian Active Learning with Support for Continuous Fidelity Parameters and Variable Cost.” In 6th ICML Workshop on Automated Machine Learning, 1–8.
Chicago author-date (all authors)
Knudde, Nicolas, Ivo Couckuyt, and Tom Dhaene. 2019. “MFITS : Bayesian Active Learning with Support for Continuous Fidelity Parameters and Variable Cost.” In 6th ICML Workshop on Automated Machine Learning, 1–8.
Vancouver
1.
Knudde N, Couckuyt I, Dhaene T. MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost. 6th ICML Workshop on Automated Machine Learning. 2019. p. 1–8.
IEEE
[1]
N. Knudde, I. Couckuyt, and T. Dhaene, “MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost,” in 6th ICML Workshop on Automated Machine Learning, Long Beach, USA, 2019, pp. 1–8.
@inproceedings{8619538,
  author       = {Knudde, Nicolas and Couckuyt, Ivo and Dhaene, Tom},
  booktitle    = {6th ICML Workshop on Automated Machine Learning},
  language     = {eng},
  location     = {Long Beach, USA},
  pages        = {1--8},
  title        = {MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost},
  year         = {2019},
}