We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
One frequently studied problem in the context of information dissemination in communication networks is the broadcasting problem. In this paper, we study the following randomized b...
Logic duplication is an effective method for improving circuit performance. In this paper we present an algorithm named SPD that performs simultaneous placement and duplication to...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing flows and netw...