Currently, Model-Driven Engineering (MDE) is considered one of the most promising approaches for software development. In this paper, a simple but complete example based on state-m...
Diego Alonso, Cristina Vicente-Chicote, Pedro S&aa...
Abstract. We present an application of partial evaluation to performance models expressed in the PEPA stochastic process algebra [1]. We partially evaluate the state-space of a PEP...
Allan Clark, Adam Duguid, Stephen Gilmore, Mirco T...
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...