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GPR
GPR
Gaussian Process Regression
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Showing 201–210 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
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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
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