SOTAVerified

GPR

Gaussian Process Regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 270 papers

TitleStatusHype
Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach—0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties—0
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows—0
On the variants of SVM methods applied to GPR data to classify tack coat characteristics in French pavements: two experimental case studies—0
Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization—0
Novel models for fatigue life prediction under wideband random loads based on machine learning—0
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
Show:102550
← PrevPage 9 of 27Next →

No leaderboard results yet.