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GPR
GPR
Gaussian Process Regression
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Showing 81–90 of 270 papers
Title
Date
Tasks
Status
Hype
Score
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression
Jan 29, 2025
Federated Learning
GPR
—
Unverified
0
0
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR
Mar 13, 2024
Bayesian Optimization
GPR
—
Unverified
0
0
Air Quality Prediction - A Study Using Neural Network Based Approach
Dec 26, 2022
GPR
—
Unverified
0
0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties
Dec 13, 2023
Decision Making
GPR
—
Unverified
0
0
Bayesian full waveform inversion with sequential surrogate model refinement
May 6, 2025
Dimensionality Reduction
GPR
—
Unverified
0
0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
May 13, 2022
GPR
regression
—
Unverified
0
0
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
May 24, 2021
Active Learning
GPR
—
Unverified
0
0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function
Oct 13, 2022
Bayesian Optimization
Evolutionary Algorithms
—
Unverified
0
0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression
Feb 13, 2025
Diagnostic
GPR
—
Unverified
0
0
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
Jun 3, 2020
Decision Making
GPR
—
Unverified
0
0
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