When systems are formally described using graph transformation systems, the challenge intensifies; the dynamic nature of such models and the potential for combinatorial explosion of states ...

The possible existence of a research-practice gap is the topic of a long-standing debate in the field of public administration. In this Viewpoint essay, the authors examine the agendas of scholars and ...

With topic modeling, brands can see beyond the actual words being used to discover trends and get ahead of potential problems. Topic modeling uses machine learning and natural language processing to ...

A multivariate Gaussian graphical Markov model for an undirected graph G, also called a covariance selection model or concentration graph model, is defined in terms of the Markov properties, i.e.