Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
Network tomography establishes linear relationships between the characteristics of individual links and those of end-toend paths. It has been proved that these relationships can b...
Denisa Ghita, Katerina J. Argyraki, Patrick Thiran
Abstract. Content-based publish-subscribe (pub-sub) systems are an emerging paradigm for building large-scale information delivery systems. Secure event dissemination in a pub-sub ...
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...