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Dec 15, 2023 · The mgpr package supports both univariate and multivariate responses using a separable kernel and includes a robust hyperparameter estimation algorithm. The ...
SoftwareX | Vol 24, December 2023 | ScienceDirect.com by Elsevier
www.sciencedirect.com › vol › suppl
Nov 25, 2023 · mgpr: An R package for multivariate Gaussian process regression. Petri Varvia, Janne Räty, Petteri Packalen. Article 101563: View PDF. Article preview. select ...
Sep 11, 2024 · Tree species volumes were predicted using GPR, which is a kernel-based regression method that models the data using multivariate Gaussian distribution ( ...
Apr 22, 2024 · mgpr: An r package for multivariate gaussian process regression. SoftwareX, 24 (2023), Article 101563. View in Scopus Google Scholar. 65. C.R. Harris, K.J. ...
Mar 12, 2024 · mgpr: An r package for multi- variate gaussian process regression. SoftwareX ... Model fitting and optimisation of parameters was performed using the mgpr R.
Sep 23, 2024 · Here we have charted the 3-dimensional distribution of neurons expressing the calcium-binding protein calbindin (CB+ neurons) across the entire marmoset cortex, ...
Apr 30, 2024 · Li et al. introduced a multi-task ground-penetrating radar (mGPR) paradigm to capture inter-sensor correlations and holistically reconstruct missing data from ...
Jan 5, 2024 · The density or regression counting paradigm employed in this study allows for estimating the total number of labeled cells within a defined region (e.g. a ...
Jan 15, 2024 · We propose an R package that provides an easy-to-use interface for multivariate GPR. The mgpr package was originally developed for remote se... View.
May 19, 2024 · Mas-related G protein-coupled receptor-X2 (MRGPRX2) is expressed in mast cells and is involved in the degranulation of these cells. We evaluated the potential ...
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