Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Although there is a huge amount of work and valuable proposals about agent oriented software engineering, it seems that the paradigm has not been fully accepted yet by software ind...
Abstract. Two of the most prominent features of ML are its expressive module system and its support for Damas-Milner type inference. However, while the foundations of both these fe...
Today’s embedded applications often consist of multiple concurrent tasks. These tasks are decomposed into subtasks which are in turn assigned and scheduled on multiple different...
We investigate scalable algorithms for automated composition (WSC) of Semantic Web Services. Our notion of WSC is very general: the composition semantics includes background knowl...