A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
By conducting simulations, we show that the structure of the personal networks significantly influences the diffusion processes in network effect markets like the software market....
Software design patterns are documented best practice solutions that can be applied to reoccurring problems. Although well documented, there are often opportunities to apply them ...
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...