Abstract. This paper presents parallel approaches to the complete transient numerical analysis of stochastic reward nets (SRNs) for both shared and distributed-memory machines. Par...
Abstract. We describe an approach to designing and implementing a distributed system as a family of related finite state machines, generated from a single abstract model. Various a...
Graham N. C. Kirby, Alan Dearle, Stuart J. Norcros...
Probabilistic verification of continuous-time stochastic processes has received increasing attention in the model-checking community in the past five years, with a clear focus on ...
This paper describes a reduction technique which is very useful against the state explosion problem which occurs when model checking many distributed systems. Timestamps are often ...
Fabrice Derepas, Paul Gastin, David Plainfoss&eacu...
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...