of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
— This paper investigates in detail the blocking and nonblocking behavior of multirate Clos switching networks at the connection/virtual connection level. The results are applica...
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...