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GPR

Gaussian Process Regression

Papers

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Showing 76–100 of 270 papers

TitleStatusHype
Distributionally Robust Active Learning for Gaussian Process Regression—0
Estimating Parameters of the Tree Root in Heterogeneous Soil Environments via Mask-Guided Multi-Polarimetric Integration Neural Network—0
Learning Enhanced Resolution-wise features for Human Pose Estimation—0
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval—0
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network—0
A fast sound power prediction tool for genset noise using machine learning—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services—0
Bayesian tomography using polynomial chaos expansion and deep generative networks—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning—0
Efficient Spatial Estimation of Perceptual Thresholds for Retinal Implants via Gaussian Process Regression—0
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling—0
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression—0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression—0
Empirical 3D Channel Modeling for Cellular-Connected UAVs: A Triple-Layer Machine Learning Approach—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
A novel data generation scheme for surrogate modelling with deep operator networks—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Deep Learning for Epidemiological Predictions—0
Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach—0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification—0
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques—0
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression—0
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