MPRS method

バージョン 1.0.0 (3.01 KB) 作成者: 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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更新 2023/9/22

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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.

引用

Milan Zukovic (2024). MPRS method (https://www.mathworks.com/matlabcentral/fileexchange/135757-mprs-method), MATLAB Central File Exchange. 取得済み .

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作成: R2018a
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ヒントを得たファイル: Modified planar rotator (MPR) method, Movingslope

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