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Gaussian Process Regression
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Showing 101–110 of 270 papers
Title
Date
Tasks
Status
Hype
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
Mar 29, 2020
GPR
—
Unverified
0
Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions
Dec 23, 2020
GPR
Position
—
Unverified
0
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials
Oct 27, 2024
Active Learning
GPR
—
Unverified
0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models
Oct 31, 2022
Bayesian Optimization
Classification
—
Unverified
0
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity
Aug 23, 2022
GPR
Model Selection
—
Unverified
0
A novel data generation scheme for surrogate modelling with deep operator networks
Feb 24, 2024
GPR
Operator learning
—
Unverified
0
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
Mar 22, 2018
GPR
object-detection
—
Unverified
0
Deep Learning for Epidemiological Predictions
Jul 21, 2018
Deep Learning
Epidemiology
—
Unverified
0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression
Jan 20, 2023
GPR
regression
—
Unverified
0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects
Jul 13, 2022
Decoder
GPR
—
Unverified
0
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