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Learning from Both Experts and Data

In this work, we study the problem of inferring a discrete probability distribution using both expert knowledge and empirical data. This is an important issue for many applications where the scarcity of data prevents a purely empirical approach. In this context, it is common to rely first on an a pr...

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Publicado en:Entropy (Basel)
Main Authors: Besson, Rémi, Le Pennec, Erwan, Allassonnière, Stéphanie
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7514553/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21121208
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