To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Abstract. The idea of feature-oriented programming is to map requirements to features, concepts that can be composed to form a software product. Change-oriented programming (ChOP),...
Peter Ebraert, Andreas Classen, Patrick Heymans, T...
A key challenge for dynamic Web service selection is that Web services are typically highly configurable and service requesters often have dynamic preferences on service configura...
This paper studies the development of autonomic and secure Virtual Organisations (VOs) when following the chemical-programming paradigm. We have selected the Higher-Order Chemical ...