This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Abstract. The complexity of today's large-scale enterprise applications demands system administrators to monitor enormous amounts of metrics, and reconfigure their hardware as...
Simon Malkowski, Markus Hedwig, Jason Parekh, Calt...
This paper addresses the problem of estimating cost and development effort of a system, starting from its complete or partial high-level description. In addition, some modificatio...
William Fornaciari, Fabio Salice, Umberto Bondi, E...
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
In this paper we improve previous work on measuring the similarity of short segments of text in two ways. First, we introduce a Web-relevance similarity measure and demonstrate it...