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Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets

Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler B. Johnson, Likith Gadde, Ramin Bostanabad

2023Computer Methods in Applied Mechanics and Engineering17 citationsDOI

Topics & Concepts

Robustness (evolution)Probabilistic logicComputer scienceFidelityParametric statisticsArtificial neural networkMachine learningArtificial intelligenceNonlinear dimensionality reductionData miningManifold (fluid mechanics)Sensor fusionData modelingData setAlgorithmMathematicsDimensionality reductionEngineeringTelecommunicationsChemistryStatisticsDatabaseGeneMechanical engineeringBiochemistryAdversarial Robustness in Machine LearningMachine Learning and Data ClassificationAnomaly Detection Techniques and Applications
Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets | Litcius