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GPR

Gaussian Process Regression

Papers

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Showing 51–100 of 270 papers

TitleStatusHype
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
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Joint multifractality in the cross-correlations between grains \& oilseeds indices and external uncertainties—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
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows—0
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)—0
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
Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach—0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows—0
On the variants of SVM methods applied to GPR data to classify tack coat characteristics in French pavements: two experimental case studies—0
Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization—0
Novel models for fatigue life prediction under wideband random loads based on machine learning—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
Comprehensive performance comparison among different types of features in data-driven battery state of health estimation—0
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy—0
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks—0
Bayesian tomography using polynomial chaos expansion and deep generative networks—0
Learning thermodynamically constrained equations of state with uncertaintyCode0
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing—0
A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area—0
A machine learning approach to the prediction of heat-transfer coefficients in micro-channels—0
Conditional variational autoencoder with Gaussian process regression recognition for parametric models—0
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