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AI
2010
Springer
15 years 6 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
BROADNETS
2007
IEEE
16 years 1 months ago
Modeling and analysis of worm interactions (war of the worms)
—“War of the worms” is a war between opposing computer worms, creating complex worm interactions as well as detrimental impact on infrastructure. For example, in September 20...
Sapon Tanachaiwiwat, Ahmed Helmy
TWC
2010
15 years 1 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
AINA
2009
IEEE
16 years 1 months ago
Medium Access Control in Large Scale Clusters for Wireless Sensor Networks
—One of the main advantages of clustering algorithms is the ability to allow networks to be physically divided into smaller regions, thereby increasing the theoretical maximum nu...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
INFOCOM
2005
IEEE
16 years 10 days ago
On static reachability analysis of IP networks
The primary purpose of a network is to provide reachability between applications running on end hosts. In this paper, we describe how to compute the reachability a network provide...
Geoffrey G. Xie, Jibin Zhan, David A. Maltz, Hui Z...