We present a technique for defining and extracting passage-time densities from high-level stochastic process algebra models. Our high-level formalism is PEPA, a popular Markovian...
Jeremy T. Bradley, Nicholas J. Dingle, Stephen T. ...
At the Leiden Embedded Research Center, we are developing a compiler called Compaan that automatically translates signal processing applications written in Matlab into Kahn Proces...
High level modeling and (quantitative) performance analysis of signal processing systems requires high level models for the applications(algorithms) and the implementations (archi...
Ed F. Deprettere, Edwin Rijpkema, Paul Lieverse, B...
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...