Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
: Situations of collaborative working are more and more complex and various in organizations. Such diversification is little studied in the literature. Researches about "techn...
Wereviewand extendthe qualitative relationships about the informational relevanceof variables in graphical decision modelsbased on conditional independenciesrevealedthroughgraphic...
Abstract. In this paper we consider the problem of scheduling on computing platforms composed of several independent organizations, known as the Multi-Organization Scheduling Probl...
Johanne Cohen, Daniel Cordeiro, Denis Trystram, Fr...
We propose a general mathematical methodology for studying the dynamics of multiagent systems in which complex collective behavior arises out of local interactions between many si...