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GPR
GPR
Gaussian Process Regression
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Showing 76–100 of 270 papers
Title
Date
Tasks
Status
Hype
Score
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
Mar 22, 2018
GPR
object-detection
—
Unverified
0
0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
May 28, 2023
GPR
regression
—
Unverified
0
0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity
Aug 23, 2022
GPR
Model Selection
—
Unverified
0
0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models
Oct 31, 2022
Bayesian Optimization
Classification
—
Unverified
0
0
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar
Mar 10, 2018
GPR
—
Unverified
0
0
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
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes
Dec 7, 2020
GPR
regression
—
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
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Dec 2, 2022
Ensemble Learning
GPR
—
Unverified
0
0
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach
May 26, 2025
feature selection
GPR
—
Unverified
0
0
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate
May 17, 2016
General Classification
GPR
—
Unverified
0
0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction
Oct 5, 2023
GPR
Human motion prediction
—
Unverified
0
0
Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach
Apr 15, 2024
Bayesian Optimization
GPR
—
Unverified
0
0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression
Oct 9, 2019
GPR
regression
—
Unverified
0
0
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification
Aug 16, 2024
GPR
—
Unverified
0
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
0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
Nov 28, 2024
GPR
Prediction
—
Unverified
0
0
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