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Gaussian Process Regression
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Showing 61–70 of 270 papers
Title
Date
Tasks
Status
Hype
Applying Generative Adversarial Networks to Intelligent Subsurface Imaging and Identification
May 30, 2019
General Classification
GPR
—
Unverified
0
CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems
Apr 22, 2023
GPR
—
Unverified
0
Active-learning-based non-intrusive Model Order Reduction
Apr 8, 2022
Active Learning
GPR
—
Unverified
0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes
May 16, 2025
Gaussian Processes
GPR
—
Unverified
0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
May 16, 2025
Active Learning
GPR
—
Unverified
0
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
Nov 19, 2020
Deep Learning
Generative Adversarial Network
—
Unverified
0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
Nov 25, 2024
Autonomous Vehicles
Bayesian Optimization
—
Unverified
0
Advanced technology in railway track monitoring using the GPR Technique: A Review
Jan 19, 2025
GPR
—
Unverified
0
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration
May 26, 2025
GPR
object-detection
—
Unverified
0
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
Feb 18, 2021
BIG-bench Machine Learning
feature selection
—
Unverified
0
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