Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Traditional process support systems typically offer a static composition of atomic tasks to more powerful services. In the real world, however, processes change over time: busines...
In this paper we propose a distributed, self organizing, robust and energy efficient data gathering algorithm for sensor networks operating in environments where all the sensor n...