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GPR

Gaussian Process Regression

Papers

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Showing 176–200 of 270 papers

TitleStatusHype
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia—0
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion FrameworkCode1
Detecting Label Noise via Leave-One-Out Cross-Validation—0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression—0
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model—0
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network—0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods—0
Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic PotentialsCode0
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions—0
Mapping Leaf Area Index with a Smartphone and Gaussian Processes—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Spectral band selection for vegetation properties retrieval using Gaussian processes regression—0
Compact Dual-Polarized Vivaldi Antenna for Ground Penetrating Radar (GPR) Application—0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry—0
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet—0
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders—0
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
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