The value of temporal data for learning of influence networks: A characterization via Kullback-Leibler divergence
MA Dahleh, JN Tsitsiklis… - 2015 54th IEEE …, 2015 - ieeexplore.ieee.org
We infer local influence relations between networked entities from data on outcomes and
assess the value of temporal data by formulating relevant binary hypothesis testing …
assess the value of temporal data by formulating relevant binary hypothesis testing …
A General Methodology for Inferring Failure Propagation Process from Post-disaster Disruptions Data
X Guan - 2018 - digital.lib.washington.edu
Cascading failures, where failures propagate from an initially small portion of a system to a
much larger portion or even the entire system, are ubiquitous phenomenon in a number of …
much larger portion or even the entire system, are ubiquitous phenomenon in a number of …