Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
We define a logic EpCTL for reasoning about the evolution of probabilistic systems. System states correspond to probability distributions over classical states and the system evo...
Pedro Baltazar, Paulo Mateus, Rajagopal Nagarajan,...
Abstract. We de ne a concurrent mobile system as one where independently executing components may migrate through some space during the course of the computation, and where the pat...
Recently, a wide range of applications like hurricane research, fire management, navigation systems, and transportation, to name only a few, has shown increasing interest in mana...
We propose a new and powerful tool for the analysis of trajectories, which in particular allows for more temporally aware analyses. Time plays an important role in the analysis of ...