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GPR

Gaussian Process Regression

Papers

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Showing 101–125 of 270 papers

TitleStatusHype
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review—0
Diameter Estimation of Cylindrical Metal Bar Using Wideband Dual-Polarized Ground-Penetrating Radar—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
Underground Diagnosis Based on GPR and Learning in the Model Space—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
Modern GPR Target Recognition Methods—0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models—0
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data—0
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network—0
Locally Smoothed Gaussian Process Regression—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
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 RegressionCode0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Certified Graph UnlearningCode1
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
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