Abstract:This technical report tries to fill a gap in current literature on Timescale Graphical Event Models. I propose and evaluate different heuristics to determine hyper-parameters during the structure learning algorithm and refine an existing distance measure. A comprehensive benchmark on synthetic data will be conducted allowing conclusions about the applicability of the different heuristics.
Graphical Event ModelsThis chapter introduces the class Graphical Event Models and in particular Timescale Graphical Event … Show more
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