The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
With the increasing adoption of process-aware information systems (PAIS), large process model repositories have emerged. Over time respective models have to be re-aligned to the re...
—The synchronous model of computation together with a suitable execution platform facilitates system-level timing predictability. This paper introduces an algebraic framework for...
Michael Mendler, Reinhard von Hanxleden, Claus Tra...
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Existing workflow management systems encapsulate the data and behavior of a process within its execution scope, preventing other processes from accessing this information until th...