An Attempt to Boost Posterior Population Expansion Using Fast Machine Learning Algorithms

In hydrogeology, inverse techniques have become indispensable to characterize subsurface parameters and their uncertainty. When modeling heterogeneous, geologically realistic discrete model spaces, such as categorical fields, Monte Carlo methods are needed to properly sample the solution space. Inve...

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Bibliographic Details
Main Authors: Przemysław Juda, Philippe Renard
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.624629/full