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Gaussian Process Regression
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Showing 141–150 of 270 papers
Title
Date
Tasks
Status
Hype
Score
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression
Oct 23, 2020
GPR
regression
—
Unverified
0
0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
Feb 25, 2020
GPR
Model-based Reinforcement Learning
—
Unverified
0
0
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression
Aug 1, 2019
GPR
regression
—
Unverified
0
0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller
Mar 17, 2023
GPR
regression
—
Unverified
0
0
Modern GPR Target Recognition Methods
Nov 2, 2022
GPR
Landmine
—
Unverified
0
0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression
Jul 17, 2022
BIG-bench Machine Learning
GPR
—
Unverified
0
0
Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem
Aug 25, 2021
GPR
regression
—
Unverified
0
0
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression
Aug 3, 2020
GPR
regression
—
Unverified
0
0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes
Feb 8, 2022
Gaussian Processes
GPR
—
Unverified
0
0
Multi-objective hyperparameter optimization with performance uncertainty
Sep 9, 2022
GPR
Hyperparameter Optimization
—
Unverified
0
0
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