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GPR

Gaussian Process Regression

Papers

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Showing 151–200 of 270 papers

TitleStatusHype
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks—0
Neural network with optimal neuron activation functions based on additive Gaussian process regression—0
Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease—0
Novel models for fatigue life prediction under wideband random loads based on machine learning—0
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection—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
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection—0
Overlapping Cover Local Regression Machines—0
Over-the-Air Gaussian Process Regression Based on Product of Experts—0
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations—0
Personality Traits and Job Candidate Screening via Analyzing Facial Videos—0
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification—0
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Physics-Information-Aided Kriging: Constructing Covariance Functions using Stochastic Simulation Models—0
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression—0
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders—0
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing—0
Predicting Stock Market Crash with Bayesian Generalised Pareto Regression—0
Projection based Active Gaussian Process Regression for Pareto Front Modeling—0
Quantification of Damage Using Indirect Structural Health Monitoring—0
Quantum assisted Gaussian process regression—0
Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach—0
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion—0
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning—0
Lightweight Distributed Gaussian Process Regression for Online Machine Learning—0
Resource Optimization for Tail-Based Control in Wireless Networked Control Systems—0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Robotic Inspection of Underground Utilities for Construction Survey Using a Ground Penetrating Radar—0
Sample-Constrained Black Box Optimization for Audio Personalization—0
SFCW GPR tree roots detection enhancement by time frequency analysis in tropical areas—0
Short-term prediction of photovoltaic power generation using Gaussian process regression—0
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning—0
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data—0
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study—0
Solar photovoltaic power prediction using different machine learning methods—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression—0
Spectral band selection for vegetation properties retrieval using Gaussian processes regression—0
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks—0
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Tensor Basis Gaussian Process Models of Hyperelastic Materials—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—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
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network—0
Time Series Forecasting Using Manifold Learning—0
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
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