Distributed applications execute in environments that can include different network architectures as well as a range of compute platforms. Furthermore, these resources are shared ...
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
In this work we present three new distributed, probabilistic data propagation protocols for Wireless Sensor Networks which aim at maximizing the network's operational life and...
Ioannis Chatzigiannakis, Lefteris M. Kirousis, Tho...
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...