The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
Upper bound constraints are often set when complex scientific or business processes are modelled as grid workflow specifications. However, many existing processes such as climate ...
Parallel simulationhas the potentialto accelerate the execution of simulation applications. However, developing a parallel discrete-event simulation from scratch requires an in-de...
Complex real-time embedded systems should be compositional and deterministic in the resource, time, and value domains. Determinism eases the engineering of correct systems and com...
The RM-ODP standard still provides the only comprehensive and coherent framework of concepts for the specification of complex large scale IT systems, and has taken on a new signif...