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158
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UAI
2003
15 years 7 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
172
Voted
EWSN
2004
Springer
16 years 5 months ago
2004
Springer
This paper describes a novel routing mechanism for a network of highly mobile sensor nodes that routes data over dynamically changing topologies, using only information from neares...
149
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ICMCS
2007
IEEE
16 years 13 days ago
2007
IEEE
This paper describes our framework to annotate events using personal and social network contexts. The problem is important as the correct context is critical to effective annotati...
173
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ACSC
2006
IEEE
16 years 6 days ago
2006
IEEE
Trust networks consist of transitive trust relationships between people, organisations and software agents connected through a medium for communication and interaction. By formali...
133
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LCN
2006
IEEE
16 years 4 days ago
2006
IEEE
We analyze the performance of CPU-bound network servers and demonstrate experimentally that the degradation in the performance of these servers under highconcurrency workloads is ...