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Keyword

Matérn kernel

Description: A covariance function used in Gaussian processes and spatial statistics to model similarity with adjustable smoothness.
Wikidata ID: wiki/Q6792079
OpenAlex ID: keywords/matern-kernel
A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
2020 · Dong Van Dao, Hojjat Adeli, et al. · Sustainability · 233
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Gaussian process regression for geometry optimization
2018 · Alexander Denzel, Johannes Kästner · The Journal of Chemical Physics · 130
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Information Rates of Nonparametric Gaussian Process Methods
2011 · Aad van der Vaart, Harry van Zanten · TU/e Research Portal · 125
Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing
2006 · J.J. Pan, J.T. Kwok, et al. · IEEE Transactions on Knowledge and Data Engineering · 116
Variational Fourier features for Gaussian processes
2016 · Hensman, James, Durrande, Nicolas, et al. · arXiv (Cornell University) · 100
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An insight into tetracycline photocatalytic degradation by MOFs using the artificial intelligence technique
2022 · Majedeh Gheytanzadeh, Alireza Baghban, et al. · Scientific Reports · 84
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MLatom: A program package for quantum chemical research assisted by machine learning
2019 · Pavlo O. Dral · Journal of Computational Chemistry · 84
Comparative Study of Kriging and Support Vector Regression for Structural Engineering Applications
2018 · Maliki Moustapha, Jean-Marc Bourinet, et al. · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering · 79
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Enhanced performance Gaussian process regression for probabilistic short-term solar output forecast
2021 · Fatemeh Najibi, Dimitra Apostolopoulou, et al. · International Journal of Electrical Power & Energy Systems · 75
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Accurate determination of permeability in carbonate reservoirs using Gaussian Process Regression
2020 · Mehdi Mahdaviara, Alireza Rostami, et al. · Journal of Petroleum Science and Engineering · 72
Multi-kernel Gaussian processes
2011 · Arman Melkumyan, Fábio Ramos · 69
Evaluation of Gaussian process regression kernel functions for improving groundwater prediction
2021 · Yue Pan, Xiankui Zeng, et al. · Journal of Hydrology · 68
Gaussian process regression (GPR) based non-invasive continuous blood pressure prediction method from cuff oscillometric signals
2020 · Ahmed S. Alghamdi, Kemal Polat, et al. · Applied Acoustics · 62
Reproducing kernels of generalized Sobolev spaces via a Green function approach with distributional operators
2011 · Gregory E. Fasshauer, Qi Ye · Numerische Mathematik · 55
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Towards a model-independent reconstruction approach for late-time Hubble data
2021 · Reginald Christian Bernardo, Jackson Levi Said · Journal of Cosmology and Astroparticle Physics · 48
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Swampland criteria for a dark energy dominated universe ensuing from Gaussian processes and H(z) data analysis
2019 · Emilio Elizalde, Martiros Khurshudyan · Physical review. D/Physical review. D. · 45
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Modelling CO2 diffusion coefficient in heavy crude oils and bitumen using extreme gradient boosting and Gaussian process regression
2023 · Qichao Lv, Ali Rashidi-Khaniabadi, et al. · Energy · 40
Analysis Methods for Computer Experiments: How to Assess and What Counts?
2016 · Hao Chen, Jason L. Loeppky, et al. · Statistical Science · 40
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Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design
2020 · Pramudita Satria Palar, Lavi Rizki Zuhal, et al. · AIAA Journal · 39
Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions
2020 · Toni Karvonen, George Wynne, et al. · SIAM/ASA Journal on Uncertainty Quantification · 39
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Detecting periodicities with Gaussian processes
2016 · Nicolas Durrande, James Hensman, et al. · PeerJ Computer Science · 39
Revisiting Bayesian optimization in the light of the COCO benchmark
2021 · Rodolphe Le Riche, Victor Picheny · Structural and Multidisciplinary Optimization · 36
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Prediction of nanofluid viscosity using multilayer perceptron and Gaussian process regression
2020 · P. C. Mukesh Kumar, R. Kavitha · Journal of Thermal Analysis and Calorimetry · 36
Predicting flammability-leading properties for liquid aerosol safety via machine learning
2021 · Chenxi Ji, Shuai Yuan, et al. · Process Safety and Environmental Protection · 35
On kernel functions for bi-fidelity Gaussian process regressions
2023 · Pramudita Satria Palar, Lucia Parussini, et al. · Structural and Multidisciplinary Optimization · 33
Works count: 462
Citation count: 3,326
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