Wireless networks are starting to be populated by interconnected devices that reveal remarkable hardware and software differences. This fact raises a number of questions on the ap...
Paolo Masci, Silvano Chiaradonna, Felicita Di Gian...
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Abstract. This paper focuses on how to model and build composite web services from already existing services. We build on the experience in workflow modeling and see if the princip...
An adaptive user interface relies, to a large extent, upon an adequate user model (e.g., a representationof user-expertise). However, building a user model may be a tedious and ti...
In this short communication we want to give an overview of how OpenMath is used in the European project “SCIEnce” [12]. The main aim of this project is to allow unified commun...