A large variety of communication systems, including telephone and data networks, can be represented by so-called Whittle networks. The stationary distribution of these networks is...
Thomas Bonald, Matthieu Jonckheere, Alexandre Prou...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
The variety of possible anonymity network topologies has spurred much debate in recent years. In a synchronous batching design, each batch of messages enters the mix network togeth...
Roger Dingledine, Vitaly Shmatikov, Paul F. Syvers...
Wireless network research still lacks methods to integratively evaluate the performance that can be expected from application layer protocols. The user behavior is predominantly aï...
Tobias Breyer, Michael Klein, Philipp Obreiter, Bi...