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GPR

Gaussian Process Regression

Papers

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TitleStatusHype
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
Comprehensive performance comparison among different types of features in data-driven battery state of health estimation—0
Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPRCode1
Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy—0
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks—0
Bayesian tomography using polynomial chaos expansion and deep generative networks—0
Learning thermodynamically constrained equations of state with uncertaintyCode0
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