The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
Efforts toward automated detection and identification of multistep cyber attack scenarios would benefit significantly from a methodology and language for modeling such scenario...
Like other software artefacts, metamodels evolve over time. We propose a transformational approach to assist metamodel evolution by stepwise adaptation. In the first part of the p...
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
The virtual synchrony model for group communication has proven to be a powerful paradigm for building distributed applications. In applications that use a large number of groups, ...