Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo
- DOI
- 10.3389/fbuil.2017.00052
- Published
- 08
- Container
- Frontiers in Built Environment
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fbuil.2017.00052,
title = {Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo},
author = {Anis Ben Abdessalem and Nikolaos Dervilis and David J. Wagg and Keith Worden},
year = {2017},
journal = {Frontiers in Built Environment},
doi = {10.3389/fbuil.2017.00052},
url = {https://doi.org/10.3389/fbuil.2017.00052}
}RIS
TY - JOUR TI - Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo AU - Anis Ben Abdessalem AU - Nikolaos Dervilis AU - David J. Wagg AU - Keith Worden PY - 2017 JO - Frontiers in Built Environment DO - 10.3389/fbuil.2017.00052 UR - https://doi.org/10.3389/fbuil.2017.00052 ER -
APA
Abdessalem, A. B., Dervilis, N., Wagg, D. J., & Worden, K. (2017). Automatic Kernel Selection for Gaussian Processes Regression with Approximate Bayesian Computation and Sequential Monte Carlo. Frontiers in Built Environment. https://doi.org/10.3389/fbuil.2017.00052