A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models
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Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular, material, and process design, but their reliability decreases when extrapolation occurs beyond the training data. To address this challenge, an index of extra... ...
