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GPR

Gaussian Process Regression

Papers

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Showing 126–150 of 270 papers

TitleStatusHype
Over-the-Air Gaussian Process Regression Based on Product of Experts—0
Multi-objective hyperparameter optimization with performance uncertainty—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
Assesment of material layers in building walls using GeoRadar—0
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
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
JGPR: a computationally efficient multi-target Gaussian process regression algorithmCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Time Series Prediction by Multi-task GPR with Spatiotemporal Information TransformationCode0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Active-learning-based non-intrusive Model Order Reduction—0
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas—0
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations—0
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control—0
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
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