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GPR

Gaussian Process Regression

Papers

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Showing 51–100 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
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
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
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action RecognitionCode1
Conditional variational autoencoder with Gaussian process regression recognition for parametric models—0
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression—0
3DInvNet: A Deep Learning-Based 3D Ground-Penetrating Radar Data InversionCode1
CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems—0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Data-Driven Response Regime Exploration and Identification for Dynamical Systems—0
Self-Distillation for Gaussian Process Regression and ClassificationCode0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller—0
Frequency-domain Blind Quality Assessment of Blurred and Blocking-artefact Images using Gaussian Process Regression model—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
Neural network with optimal neuron activation functions based on additive Gaussian process regression—0
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Robust and Scalable Gaussian Process Regression and Its ApplicationsCode0
Air Quality Prediction - A Study Using Neural Network Based Approach—0
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