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GPR

Gaussian Process Regression

Papers

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Showing 26–50 of 270 papers

TitleStatusHype
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G NetworksCode0
Advanced technology in railway track monitoring using the GPR Technique: A Review—0
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot SegmentationCode1
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics—0
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials—0
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments—0
GPR Full-Waveform Inversion through Adaptive Filtering of Model Parameters and Gradients Using CNN—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models—0
Joint multifractality in the cross-correlations between grains \& oilseeds indices and external uncertainties—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
TVG: A Training-free Transition Video Generation Method with Diffusion Models—0
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification—0
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?—0
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random FeaturesCode2
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
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