While many role mining algorithms have been proposed in recent years, there lacks a comprehensive study to compare these algorithms. These role mining algorithms have been evaluat...
Ian Molloy, Ninghui Li, Tiancheng Li, Ziqing Mao, ...
A fundamental fact in the analysis of randomized algorithm is that when n balls are hashed into n bins independently and uniformly at random, with high probability each bin contai...
L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wied...
It is common practice in wireless multihop network evaluations to ignore interfering signals below a certain signal strength threshold. This paper investigates the thesis that thi...
Douglas M. Blough, Claudia Canali, Giovanni Resta,...
Homeomorphic Embedding (HEm) has proven to be very powerful for supervising termination of computations, provided that such computations are performed over a finite signature, i.e...
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...