Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information r...
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
: Educational Modeling Languages (EMLs) have been proposed to support the modeling of educational units. Currently, there are some EML proposals devoted to provide a computational ...
We present a GUI-based tool supporting the stochastic process algebra PEPA with modules for performance evaluation through Markovian steady-state analysis, fluid flow analysis, ...
Transaction level models (TLMs) can be constructed at t levels of abstraction, denoted as untimed (UT), cycle-approximate (CX), and cycle accurate (CA) in this paper. The choice o...