The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
We present OKEANOS, a distributed service-based agent framework implemented in Java, in which agents can act autonomously and make use of stationary services. Each agent's beh...
Ralf-Dieter Schimkat, Wolfgang Blochinger, Carsten...