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GPR

Gaussian Process Regression

Papers

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Showing 51–75 of 270 papers

TitleStatusHype
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
Graph Neural Networks with Diverse Spectral FilteringCode1
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
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