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GPR

Gaussian Process Regression

Papers

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Showing 126–150 of 270 papers

TitleStatusHype
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data—0
Local Function Complexity for Active Learning via Mixture of Gaussian Processes—0
Local Gaussian Process Regression for Real Time Online Model Learning—0
Locally Smoothed Gaussian Process Regression—0
Machine Learning-Based Assessment of Energy Behavior of RC Shear Walls—0
Machine learning for accelerating the discovery of high performance low-cost solar cells: a systematic review—0
Machine Learning for Pricing American Options in High-Dimensional Markovian and non-Markovian models—0
Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory—0
Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia—0
Mapping Leaf Area Index with a Smartphone and Gaussian Processes—0
Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression—0
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows—0
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar—0
L_1-GP: L_1 Adaptive Control with Bayesian Learning—0
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression—0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements—0
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression—0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller—0
Modern GPR Target Recognition Methods—0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression—0
Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem—0
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Multi-objective hyperparameter optimization with performance uncertainty—0
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