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Gaussian Process Regression
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Showing 221–230 of 270 papers
Title
Date
Tasks
Status
Hype
Approximate Inference for Fully Bayesian Gaussian Process Regression
Dec 31, 2019
GPR
regression
Code
Code Available
0
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
Dec 25, 2019
GPR
—
Unverified
0
Tensor Basis Gaussian Process Models of Hyperelastic Materials
Dec 23, 2019
GPR
Physics-informed machine learning
—
Unverified
0
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
Dec 12, 2019
GPR
Time Series Analysis
—
Unverified
0
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
Dec 8, 2019
Crowd Counting
GPR
—
Unverified
0
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach
Nov 27, 2019
Active Learning
GPR
—
Unverified
0
Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression
Oct 9, 2019
GPR
regression
—
Unverified
0
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods
Sep 14, 2019
Classification
General Classification
Code
Code Available
0
Learning Enhanced Resolution-wise features for Human Pose Estimation
Sep 11, 2019
GPR
Keypoint Detection
—
Unverified
0
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning
Sep 4, 2019
BIG-bench Machine Learning
Clustering
—
Unverified
0
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