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GPR
GPR
Gaussian Process Regression
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Showing 201–225 of 270 papers
Title
Date
Tasks
Status
Hype
Short-term prediction of photovoltaic power generation using Gaussian process regression
Oct 5, 2020
GPR
Model Selection
—
Unverified
0
Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems
Sep 25, 2020
GPR
regression
—
Unverified
0
An Intuitive Tutorial to Gaussian Process Regression
Sep 22, 2020
BIG-bench Machine Learning
Gaussian Processes
Code
Code Available
1
GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet
Aug 20, 2020
Depth Estimation
Depth Prediction
—
Unverified
0
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Aug 3, 2020
GPR
regression
—
Unverified
0
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems
Jul 4, 2020
BIG-bench Machine Learning
GPR
—
Unverified
0
Gaussian Process Regression with Local Explanation
Jul 3, 2020
GPR
Prediction
—
Unverified
0
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis
Jul 2, 2020
Bayesian Optimization
Computational Efficiency
Code
Code Available
0
Adaptive Universal Generalized PageRank Graph Neural Network
Jun 14, 2020
GPR
Graph Neural Network
Code
Code Available
1
L1-GP: L1 Adaptive Control with Bayesian Learning
Jun 8, 2020
GPR
regression
—
Unverified
0
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
Jun 3, 2020
Decision Making
GPR
—
Unverified
0
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database
May 19, 2020
GPR
—
Unverified
0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
May 7, 2020
BIG-bench Machine Learning
feature selection
—
Unverified
0
L_1-GP: L_1 Adaptive Control with Bayesian Learning
Apr 30, 2020
GPR
regression
—
Unverified
0
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
Mar 29, 2020
GPR
—
Unverified
0
Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles
Mar 27, 2020
GPR
Molecular Property Prediction
Code
Code Available
0
Analysis of Greenhouse Gases
Mar 21, 2020
GPR
regression
—
Unverified
0
Gaze-Sensing LEDs for Head Mounted Displays
Mar 18, 2020
Dimensionality Reduction
Gaze Estimation
—
Unverified
0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
Feb 25, 2020
GPR
Model-based Reinforcement Learning
—
Unverified
0
Projection based Active Gaussian Process Regression for Pareto Front Modeling
Jan 20, 2020
Active Learning
Decision Making
—
Unverified
0
Approximate Inference for Fully Bayesian Gaussian Process Regression
Dec 31, 2019
GPR
regression
Code
Code Available
0
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
Dec 25, 2019
GPR
—
Unverified
0
Tensor Basis Gaussian Process Models of Hyperelastic Materials
Dec 23, 2019
GPR
Physics-informed machine learning
—
Unverified
0
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Dec 12, 2019
GPR
Time Series Analysis
—
Unverified
0
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
Dec 8, 2019
Crowd Counting
GPR
—
Unverified
0
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