This paper addresses two important challenges for current P2P systems, namely churn and selfishness. First, we report on a system [19] whose desirable properties (small peer degre...
Stefan Schmid, Fabian Kuhn, Thomas Moscibroda, Rog...
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Much thinking about digital cities is in terms of community groups. Yet, the world is composed of social networks and not of groups. This paper traces how communities have changed ...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
In a reputation-based trust-management system, agents maintain information about the past behaviour of other agents. This information is used to guide future trust-based decisions...