Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
Abstract. Epidemic protocols have demonstrated remarkable scalability and robustness in disseminating information on internet-scale, dynamic P2P systems. However, popular instances...