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GPR
Gaussian Process Regression
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Showing 91–100 of 270 papers
Title
Date
Tasks
Status
Hype
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach
May 26, 2025
feature selection
GPR
—
Unverified
0
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Dec 2, 2022
Ensemble Learning
GPR
—
Unverified
0
A novel data generation scheme for surrogate modelling with deep operator networks
Feb 24, 2024
GPR
Operator learning
—
Unverified
0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes
Dec 7, 2020
GPR
regression
—
Unverified
0
Deep Learning for Epidemiological Predictions
Jul 21, 2018
Deep Learning
Epidemiology
—
Unverified
0
Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach
Apr 15, 2024
Bayesian Optimization
GPR
—
Unverified
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
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification
Aug 16, 2024
GPR
—
Unverified
0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
May 7, 2020
BIG-bench Machine Learning
feature selection
—
Unverified
0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression
Jan 20, 2023
GPR
regression
—
Unverified
0
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