Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
In the past two decades, the IS research community underwent an intensive debate and fought hard to legitimise interpretive and qualitative research paradigms. Now that the war is...
Many reported discovery systems build discrete models of hidden structure, properties, or processes in the diverse fields of biology, chemistry, and physics. We show that the sear...
In the traditional voting manipulation literature, it is assumed that a group of manipulators jointly misrepresent their preferences to get a certain candidate elected, while the ...
The powerful yet conceptually simple notions of Finite-Time Lyapunov Exponent (FTLE) and Lagrangian Coherent Structures provide a powerful framework for the analysis and visualiza...
Christoph Garth, Alexander Wiebel, Xavier Tricoche...