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GPR

Gaussian Process Regression

Papers

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Showing 131–140 of 270 papers

TitleStatusHype
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion—0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification—0
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine LearningCode0
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Dual-Cross-Polarized GPR Measurement Method for Detection and Orientation Estimation of Shallowly Buried Elongated Object—0
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