Bayesian sensitivity analysis of a 1D vascular model with Gaussian process emulators.
Sign Up to like & getrecommendations! Published in 2017 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.2882
Abstract: One-dimensional models of the cardiovascular system can capture the physics of pulse waves but involve many parameters. Since these may vary among individuals, patient-specific models are difficult to construct. Sensitivity analysis can be used to… read more here.
Keywords: analysis; sensitivity; model; sensitivity analysis ... See more keywords
Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.27006
Abstract: Machine learning is becoming increasingly more important in the field of force field development. Never has it been more vital to have chemically accurate machine learning potentials because force fields become more sophisticated and their… read more here.
Keywords: active learning; regression models; chemically accurate; gaussian process ... See more keywords
Adaptive regularized Gaussian process regression for application in the context of hydrogen adsorption on graphene sheets
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.27035
Abstract: We present a Gaussian process regression (GPR) scheme with an adaptive regularization scheme applied to the QM7 and QM9 test set, several protonated water clusters and specifically to the problem of atomic hydrogen adsorption on… read more here.
Keywords: adsorption graphene; hydrogen adsorption; graphene sheets; gaussian process ... See more keywords
Referenceless magnetic resonance temperature imaging using Gaussian process modeling
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DOI: 10.1002/mp.12231
Abstract: Purpose During magnetic resonance (MR)‐guided thermal therapies, water proton resonance frequency shift (PRFS)‐based MR temperature imaging can quantitatively monitor tissue temperature changes. It is widely known that the PRFS technique is easily perturbed by tissue… read more here.
Keywords: phase; temperature; magnetic resonance; temperature imaging ... See more keywords
Gaussian process as complement to test functions for surrogate modeling
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02441-1
Abstract: It is common for papers on surrogate fitting to select test functions for testing algorithms. This raises the issue of how well the algorithms generalize to other functions. This editorial proposes as a possible complement… read more here.
Keywords: test; test functions; generate random; decay rates ... See more keywords
Gaussian process for estimating parameters of partial differential equations and its application to the Richards equation
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01709-8
Abstract: This paper proposes a new collocation method for estimating parameters of a partial differential equation (PDE), which uses Gaussian process (GP) as a basis function and is termed as Gaussian process for partial differential equation… read more here.
Keywords: partial differential; estimating parameters; method; equation ... See more keywords
Seismic vulnerability of above-ground storage tanks with unanchored support conditions for Na-tech risks based on Gaussian process regression
Sign Up to like & getrecommendations! Published in 2020 at "Bulletin of Earthquake Engineering"
DOI: 10.1007/s10518-020-00960-7
Abstract: This paper aims to investigate the seismic vulnerability of an existing unanchored steel storage tank ideally installed in a refinery in Sicily (Italy), along the lines of performance-based earthquake engineering. Tank performance is estimated by… read more here.
Keywords: storage; process regression; based gaussian; vulnerability ... See more keywords
Gaussian Process Emulators for Computer Experiments with Inequality Constraints
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Geosciences"
DOI: 10.1007/s11004-017-9673-2
Abstract: Physical phenomena are observed in many fields (science and engineering) and are often studied by time-consuming computer codes. These codes are analyzed with statistical models, often called emulators. In many situations, the physical system (computer… read more here.
Keywords: inequality constraints; inequality; computer; constraints gaussian ... See more keywords
High-Dimensional Intrinsic Interpolation Using Gaussian Process Regression and Diffusion Maps
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Geosciences"
DOI: 10.1007/s11004-017-9705-y
Abstract: This article considers the challenging task of estimating geologic properties of interest using a suite of proxy measurements. The current work recast this task as a manifold learning problem. In this process, this article introduces… read more here.
Keywords: high dimensional; process regression; diffusion; process ... See more keywords
Hilbert space methods for reduced-rank Gaussian process regression
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DOI: 10.1007/s11222-019-09886-w
Abstract: This paper proposes a novel scheme for reduced-rank Gaussian process regression. The method is based on an approximate series expansion of the covariance function in terms of an eigenfunction expansion of the Laplace operator in… read more here.
Keywords: reduced rank; gaussian process; covariance function;
Extracting Complex Permittivity of Materials by Gaussian Process Regression Using the Transmission Parameter at Sub-THz
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Electronic Materials"
DOI: 10.1007/s11664-019-07716-3
Abstract: The interaction between electromagnetic waves and materials is related to dielectric properties of materials, which have been used for technological applications in many fields, like polymers. Extracting complex permittivity values can be used to define… read more here.
Keywords: process regression; extracting complex; permittivity; permittivity materials ... See more keywords