Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...
erate (Extended Abstract) Patrick Bindjeme1† and James Allen Fill1 1 Department of Applied Mathematics and Statistics, The Johns Hopkins University, 34th and Charles Streets, Bal...
— This work is concerned with the problem of characterizing and computing probabilistic bisimulations of diffusion processes. A probabilistic bisimulation relation between two su...
We present a process algebraic approach for extending to the probabilistic setting the classical logical information flow analysis of computer systems. In particular, we employ a ...