Proposals for multicast security that have been published so far are complex, often require trust in network components or are inefficient. In this paper we propose a series of no...
Germano Caronni, Marcel Waldvogel, Dan Sun, Bernha...
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
The Wormhole Run-Time Reconfiguration (RTR) computing paradigm is a method for creating high performance computational pipelines. The scalability, distributed control and data pow...
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...