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
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