MPRS method

Version 1.0.1 (5,41 ko) par Milan Zukovic
Modified planar rotator interpolation method (MPRS) for D-dimensional data (D = 1, 2 or 3) in time or space.
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Mise à jour 30 sept. 2025

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MPRS is physically inspired machine learning method for spatial/temporal regression. MPRS is a non-parametric model which incorporates spatial or temporal correlations via short-range, distance-dependent "interactions" without assuming a specific form for the underlying probability distribution. Predictions are obtained by means of a fully autonomous learning algorithm which employs equilibrium conditional Monte Carlo simulations. MPRS is able to handle scattered data and arbitrary spatial dimensions.

Citation pour cette source

Milan Zukovic (2026). MPRS method (https://fr.mathworks.com/matlabcentral/fileexchange/135757-mprs-method), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2018a
Compatible avec toutes les versions
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Inspiré par : Modified planar rotator (MPR) method, Movingslope

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Version Publié le Notes de version
1.0.1

Uploaded auxiliary function movingslope.m
1.0.0