If we model a family of software applications with a feature model and an architecture model, we are describing the same subject from different perspectives. Hence, we are running ...
Constructing models of systems that change their structure over time has proved to be a challenging problem, with several proposed solutions. We present two of these approaches an...
Fernando J. Barros, Bernard P. Zeigler, Paul A. Fi...
In an errors-in-variables (EIV) model, all the measurements are corrupted by noise. The class of EIV models with constraints separable into the product of two nonlinear functions, ...
Abstract. The juxtaposition of hypokinetic and hyperkinetic symptoms in Parkinson's disease (PD) presents a challenge in modeling the basal ganglia. We propose a model of the ...
Christopher I. Connolly, J. Brian Burns, Mandar S....
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...