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JGPR: a computationally efficient multi-target Gaussian process regression algorithm

Mohammad Nabati, Seyed Ali Ghorashi, Reza Shahbazian

2022Machine Learning18 citationsDOIOpen Access PDF

Topics & Concepts

OverfittingComputer scienceKrigingBenchmark (surveying)Gaussian processMachine learningRegressionAlgorithmArtificial intelligenceCovariance matrixContext (archaeology)HyperparameterData miningGaussianMathematicsArtificial neural networkStatisticsGeographyPhysicsPaleontologyGeodesyQuantum mechanicsBiologyMachine Learning and Data ClassificationGaussian Processes and Bayesian InferenceMachine Learning and ELM
JGPR: a computationally efficient multi-target Gaussian process regression algorithm | Litcius