Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data

8 Jul 2019Xihaier LuoAhsan Kareem

Datasets in engineering applications are often limited and contaminated, mainly due to unavoidable measurement noise and signal distortion. Thus, using conventional data-driven approaches to build a reliable discriminative model, and further applying this identified surrogate to uncertainty analysis remains to be very challenging... (read more)

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