One major impediment to the wider use of deep learning for clinical decision making is the difficulty of assigning a level of confidence to model predictions. Currently, deep Bayesian neural networks ...
Bayesian modelling of spatial processes provides a coherent framework for inferring complex patterns in data that vary across geographical space. Central to this approach is the specification of a ...
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