Probabilistic graphical models form a unifying framework for representing complex multivariate distributions and reasoning about causality. At their core, these models employ graphs in which nodes ...
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step ...
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