Random sampling high dimensional model representation Gaussian process regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method (Q6156985)
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scientific article; zbMATH DE number 7697529
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Random sampling high dimensional model representation Gaussian process regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method |
scientific article; zbMATH DE number 7697529 |
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Random sampling high dimensional model representation Gaussian process regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method (English)
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19 June 2023
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multivariate function
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machine learning
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Gaussian process regression
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high dimensional model representation
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data imputation
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