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Gaussian Process Regression
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Showing 171–180 of 270 papers
Title
Date
Tasks
Status
Hype
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data
Oct 21, 2022
Anomaly Detection
GPR
—
Unverified
0
Incremental Variational Sparse Gaussian Process Regression
Dec 1, 2016
GPR
Incremental Learning
—
Unverified
0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery
Apr 1, 2025
GPR
Operator learning
—
Unverified
0
Investigating the Capabilities of Deep Learning for Processing and Interpreting One-Shot Multi-offset GPR Data: A Numerical Case Study for Lunar and Martian Environments
Oct 18, 2024
GPR
—
Unverified
0
Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)
May 30, 2024
GPR
—
Unverified
0
Joint multifractality in the cross-correlations between grains \& oilseeds indices and external uncertainties
Sep 18, 2024
GPR
—
Unverified
0
Kernel-based Information Criterion
Aug 25, 2014
GPR
Model Selection
—
Unverified
0
Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity
Nov 10, 2015
GPR
—
Unverified
0
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression
Mar 20, 2024
feature selection
Gaussian Processes
—
Unverified
0
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows
Dec 11, 2023
GPR
regression
—
Unverified
0
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