We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been ide...
Gleb Skobeltsyn, Toan Luu, Ivana Podnar Zarko, Mar...
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Model-checkers have recently been suggested for automated software test-case generation. Several works have presented methods that create efficient test-suites using model-checker...