Abstract—Multicast-based network tomography enables inference of average loss rates and delay distributions of internal network links from end-to-end measurements of multicast pr...
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
An important practical problem in fault diagnosis is discriminating between permanent faults and transient faults. In many computer systems, the majority of errors are due to tran...
M. Pizza, Lorenzo Strigini, Andrea Bondavalli, Fel...
Recently a bulk of research [14, 5, 15, 9] has been done on the modelling of the smallworld phenomenon, which has been shown to be pervasive in social and nature networks, and eng...
PageRank-style authority analyses of Web graphs are of great importance for Web mining. Such authority analyses also apply to hot “Web 2.0” applications that exhibit a natural...
Josiane Xavier Parreira, Sebastian Michel, Matthia...