Prediction of rare feature combinations in population synthesis: Application of deep generative modelling

17 Sep 2019Sergio GarridoStanislav S. BorysovFrancisco C. PereiraJeppe Rich

In population synthesis applications, when considering populations with many attributes, a fundamental problem is the estimation of rare combinations of feature attributes. Unsurprisingly, it is notably more difficult to reliably representthe sparser regions of such multivariate distributions and in particular combinations of attributes which are absent from the original sample... (read more)

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