In this paper, we discuss challenges and provide solutions for capturing and maintaining accurate models of user profiles using semantic web technologies, by aggregating and shari...
The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for dist...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Recent developments in software component technology have renewed the promise of reusable software. Combining this with the possibilities of sharing simulation results and models ...
Flexible and dynamic environments are characterized by high independence from connection participants, low control over available services and high tolerance to communication fail...