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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

Owen Ren, Mohamed Ali Boussaidi, Dmitry Voytsekhovsky, Manabu Ihara, Sergei Manzhos

2021Computer Physics Communications35 citationsDOIOpen Access PDF

Topics & Concepts

KrigingCurse of dimensionalityGaussian processComputer sciencePython (programming language)AlgorithmGaussianDimensionality reductionRegressionMathematicsApplied mathematicsData miningArtificial intelligenceStatisticsMachine learningPhysicsQuantum mechanicsOperating systemMass Spectrometry Techniques and ApplicationsMachine Learning in Materials ScienceGaussian Processes and Bayesian Inference
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 | Litcius