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GPR

Gaussian Process Regression

Papers

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Showing 211–220 of 270 papers

TitleStatusHype
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels—0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database—0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques—0
L_1-GP: L_1 Adaptive Control with Bayesian Learning—0
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network—0
Predicting molecular dipole moments by combining atomic partial charges and atomic dipolesCode0
Analysis of Greenhouse Gases—0
Gaze-Sensing LEDs for Head Mounted Displays—0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements—0
Projection based Active Gaussian Process Regression for Pareto Front Modeling—0
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