Variational Gaussian processes for implicit geological modeling
ÍG Gonçalves, F Guadagnin, DP Cordova - Computers & Geosciences, 2023 - Elsevier
A variational Gaussian process (VGP) model for implicit geological modeling is proposed,
capable of modeling linear and non-linear trends. A new likelihood capable of honoring …
capable of modeling linear and non-linear trends. A new likelihood capable of honoring …
MONGOOSE: Path-wise smooth Bayesian optimisation via meta-learning
In Bayesian optimisation, we often seek to minimise the black-box objective functions that
arise in real-world physical systems. A primary contributor to the cost of evaluating such …
arise in real-world physical systems. A primary contributor to the cost of evaluating such …
[HTML][HTML] BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques
S Yang, ZY Chen, KW Liang, CJ Qin, Y Yang… - Zoological …, 2023 - ncbi.nlm.nih.gov
Quantification of behaviors in macaques provides crucial support for various scientific
disciplines, including pharmacology, neuroscience, and ethology. Despite recent …
disciplines, including pharmacology, neuroscience, and ethology. Despite recent …
Simulated Block Variance for 3D Drillhole Infill
GZ Ramos, MM da Rocha, AE Correia… - Natural Resources …, 2022 - Springer
Drillhole infill has an important role in the mining industry, especially when its aim is to
enhance the assessment of variance representativeness of a mineralized rock or any other …
enhance the assessment of variance representativeness of a mineralized rock or any other …
[PDF][PDF] A joint model-based design of experiments approach for the identification of Kriging models in geological exploration
When exploring prospective mining locations, a central task is modelling rock attributes in
the subsurface. The drilling needed to sample these locations is costly, so efficient sampling …
the subsurface. The drilling needed to sample these locations is costly, so efficient sampling …