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Prediction of liquid fuel properties using machine learning models with
  Gaussian processes and probabilistic conditional generative learning

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

18 October 2021
Rodolfo S. M. Freitas
Ágatha P. F. Lima
Cheng Chen
F. Rochinha
D. Mira
Xi Jiang
ArXivPDFHTML

Papers citing "Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning"

1 / 1 papers shown
Title
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
86
291
0
02 Oct 2012
1