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GPR

Gaussian Process Regression

Papers

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Showing 71–80 of 270 papers

TitleStatusHype
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling—0
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study—0
Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach—0
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression—0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR—0
Explainable Learning with Gaussian ProcessesCode0
A novel data generation scheme for surrogate modelling with deep operator networks—0
Data-Driven Stochastic AC-OPF using Gaussian ProcessesCode0
Gaussian-process-regression-based method for the localization of exceptional points in complex resonance spectra—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
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