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GPR

Gaussian Process Regression

Papers

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Showing 126–150 of 270 papers

TitleStatusHype
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning—0
Slice-Connection Clustering Algorithm for Tree Roots Recognition in Noisy 3D GPR Data—0
Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study—0
Solar photovoltaic power prediction using different machine learning methods—0
Sparse discovery of differential equations based on multi-fidelity Gaussian process—0
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression—0
Spectral band selection for vegetation properties retrieval using Gaussian processes regression—0
Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks—0
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Tensor Basis Gaussian Process Models of Hyperelastic Materials—0
The impact of external uncertainties on the extreme return connectedness between food, fossil energy, and clean energy markets—0
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces—0
The Orientation Estimation of Elongated Underground Objects via Multi-Polarization Aggregation and Selection Neural Network—0
Time Series Forecasting Using Manifold Learning—0
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys—0
TVG: A Training-free Transition Video Generation Method with Diffusion Models—0
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach—0
Underground Diagnosis Based on GPR and Learning in the Model Space—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems—0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning—0
Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression—0
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