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GPR

Gaussian Process Regression

Papers

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Showing 101–150 of 270 papers

TitleStatusHype
gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar—0
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining—0
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
How priors of initial hyperparameters affect Gaussian process regression models—0
Hybrid Fingerprint-based Positioning in Cell-Free Massive MIMO Systems—0
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics—0
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control—0
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data—0
Incremental Variational Sparse Gaussian Process Regression—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—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
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)—0
Joint multifractality in the cross-correlations between grains \& oilseeds indices and external uncertainties—0
Kernel-based Information Criterion—0
Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity—0
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression—0
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows—0
L1-GP: L1 Adaptive Control with Bayesian Learning—0
Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems—0
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy—0
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation—0
Learning curves for Gaussian process regression with power-law priors and targets—0
Learning Manifolds from Non-stationary Streaming Data—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Local Function Complexity for Active Learning via Mixture of Gaussian Processes—0
Local Gaussian Process Regression for Real Time Online Model Learning—0
Locally Smoothed Gaussian Process Regression—0
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls—0
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review—0
Machine Learning for Pricing American Options in High-Dimensional Markovian and non-Markovian models—0
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory—0
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia—0
Mapping Leaf Area Index with a Smartphone and Gaussian Processes—0
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression—0
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows—0
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
L_1-GP: L_1 Adaptive Control with Bayesian Learning—0
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression—0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements—0
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression—0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller—0
Modern GPR Target Recognition Methods—0
Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem—0
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Multi-objective hyperparameter optimization with performance uncertainty—0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
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