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GPR

Gaussian Process Regression

Papers

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Showing 101–150 of 270 papers

TitleStatusHype
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression—0
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
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
Diameter Estimation of Cylindrical Metal Bar Using Wideband Dual-Polarized Ground-Penetrating Radar—0
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
Underground Diagnosis Based on GPR and Learning in the Model Space—0
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
Modern GPR Target Recognition Methods—0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models—0
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data—0
GPR-Net: Multi-view Layout Estimation via a Geometry-aware Panorama Registration Network—0
Locally Smoothed Gaussian Process Regression—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Over-the-Air Gaussian Process Regression Based on Product of Experts—0
Multi-objective hyperparameter optimization with performance uncertainty—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
Assesment of material layers in building walls using GeoRadar—0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity—0
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion—0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification—0
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine LearningCode0
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Dual-Cross-Polarized GPR Measurement Method for Detection and Orientation Estimation of Shallowly Buried Elongated Object—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
JGPR: a computationally efficient multi-target Gaussian process regression algorithmCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Time Series Prediction by Multi-task GPR with Spatiotemporal Information TransformationCode0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Active-learning-based non-intrusive Model Order Reduction—0
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas—0
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations—0
Impact of Information Flow Topology on Safety of Tightly-coupled Connected and Automated Vehicle Platoons Utilizing Stochastic Control—0
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effectsCode0
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