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Deep covariate-learning: optimising information extraction from terrain
  texture for geostatistical modelling applications

Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications

22 May 2020
Charlie Kirkwood
ArXivPDFHTML

Papers citing "Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications"

2 / 2 papers shown
Title
A deep mixture density network for outlier-corrected interpolation of
  crowd-sourced weather data
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
Charlie Kirkwood
T. Economou
H. Odbert
N. Pugeault
31
0
0
25 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1