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» On the Vulnerability of Large Graphs
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NIPS
1998
15 years 1 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul
ICDE
2005
IEEE
103views Database» more  ICDE 2005»
16 years 1 months ago
Vectorizing and Querying Large XML Repositories
Vertical partitioning is a well-known technique for optimizing query performance in relational databases. An extreme form of this technique, which we call vectorization, is to sto...
Peter Buneman, Byron Choi, Wenfei Fan, Robert Hutc...
GIS
2007
ACM
16 years 28 days ago
Proximity queries in large traffic networks
In this paper, we present an original network graph embedding to speed-up distance-range and k-nearest neighbor queries in (weighted) graphs. Our approach implements the paradigm ...
Hans-Peter Kriegel, Matthias Renz, Peer Kröge...
ICC
2008
IEEE
127views Communications» more  ICC 2008»
15 years 6 months ago
On the Devolution of Large-Scale Sensor Networks in the Presence of Random Failures
—In battery-constrained large-scale sensor networks, nodes are prone to random failures due to various reasons, such as energy depletion and hostile environment. Random failures ...
Fei Xing, Wenye Wang
GLOBECOM
2006
IEEE
15 years 6 months ago
Toward Understanding the Behavior of BGP During Large-Scale Power Outages
— While the Internet continues to thrive, the resiliency of its fundamental routing infrastructure is not fully understood. In this paper, we analyze the behavior of the de facto...
Jun Li, Zhen Wu, Eric Purpus