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GPR

Gaussian Process Regression

Papers

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Showing 201–250 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
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Physics-Information-Aided Kriging: Constructing Covariance Functions using Stochastic Simulation Models—0
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression—0
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders—0
Fast Derivative Valuation from Volatility Surfaces using Machine LearningCode0
Non-Stationary Gaussian Process Regression with Hamiltonian Monte CarloCode0
Kernel Mode Decomposition and programmable/interpretable regression networksCode0
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general methodCode0
Fusion of hyperspectral and ground penetrating radar to estimate soil moistureCode0
Approximate Inference for Fully Bayesian Gaussian Process RegressionCode0
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolationCode0
Explainable Learning with Gaussian ProcessesCode0
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric DataCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal DataCode0
A Geometric Analysis of Phase RetrievalCode0
Modeling Epidemic Spread: A Gaussian Process Regression ApproachCode0
Satellite galaxy abundance dependency on cosmology in Magneticum simulationsCode0
Modelling Arbitrary Complex Dielectric Properties -- an automated implementation for gprMaxCode0
Data-Driven Stochastic AC-OPF using Gaussian ProcessesCode0
Learning thermodynamically constrained equations of state with uncertaintyCode0
Scalable Gaussian Process Classification with Additive Noise for Various LikelihoodsCode0
Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open DatasetsCode0
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