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» Distributed Optimization in Adaptive Networks
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TSP
2010
14 years 11 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
ATAL
2005
Springer
15 years 10 months ago
Preprocessing techniques for accelerating the DCOP algorithm ADOPT
Methods for solving Distributed Constraint Optimization Problems (DCOP) have emerged as key techniques for distributed reasoning. Yet, their application faces significant hurdles...
Syed Muhammad Ali, Sven Koenig, Milind Tambe
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 5 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
INFOCOM
2011
IEEE
14 years 8 months ago
Sharing multiple messages over mobile networks
—Information dissemination in a large network is typically achieved when each user shares its own information or resources with each other user. Consider n users randomly located...
Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews
CCR
2005
76views more  CCR 2005»
15 years 4 months ago
Simplifying the synthesis of internet traffic matrices
A recent paper [8] presented methods for several steps along the road to synthesis of realistic traffic matrices. Such synthesis is needed because traffic matrices are a crucial i...
Matthew Roughan