— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
—We describe a semantic imitation model of social tagging that integrates formal representations of semantics and a stochastic tag choice process to explain and predict emergent ...
Wai-Tat Fu, Thomas George Kannampallil, Ruogu Kang
We consider streaming video content over an overlay network of peer nodes. Each of the nodes employs a mesh-pull mechanism to organize the download of data units from its neighbou...
In this paper, we propose a new analytical model for throughput evaluation of wireless network coding. This new approach is based on a probabilistic viewpoint on network coding, i....
Mohammad H. Amerimehr, Farid Ashtiani, Mohammad Ba...
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...