This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
This paper proposes an investigation of sociotechnical factors affecting the adoption of information technology (IT) by General Practitioners (GPs), for the purposes of the develo...
Stephen Burgess, Paul Darbyshire, Carmine Sellino,...
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
Location-free boundary recognition is crucial and critical for many fundamental network functionalities in wireless ad hoc and sensor networks. Previous designs, often coarse-grai...
Folksonomies provide a rich source of data to study social patterns taking place on the World Wide Web. Here we study the temporal patterns of users’ tagging activity. We show t...
Andrea Capocci, Andrea Baldassarri, Vito Domenico ...