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GPR

Gaussian Process Regression

Papers

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Showing 201–225 of 270 papers

TitleStatusHype
L_1-GP: L_1 Adaptive Control with Bayesian Learning—0
MIMO ILC for Precision SEA robots using Input-weighted Complex-Kernel Regression—0
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements—0
Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression—0
Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller—0
Modern GPR Target Recognition Methods—0
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression—0
Moving average options: Machine Learning and Gauss-Hermite quadrature for a double non-Markovian problem—0
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression—0
Multi-model Ensemble Analysis with Neural Network Gaussian Processes—0
Multi-objective hyperparameter optimization with performance uncertainty—0
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks—0
Neural network with optimal neuron activation functions based on additive Gaussian process regression—0
Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease—0
Novel models for fatigue life prediction under wideband random loads based on machine learning—0
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection—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
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection—0
Overlapping Cover Local Regression Machines—0
Over-the-Air Gaussian Process Regression Based on Product of Experts—0
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations—0
Personality Traits and Job Candidate Screening via Analyzing Facial Videos—0
Photoelectric Factor Prediction Using Automated Learning and Uncertainty Quantification—0
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