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» Approximating the Number of Network Motifs
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ML
2007
ACM
192views Machine Learning» more  ML 2007»
13 years 8 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
IPSN
2007
Springer
14 years 2 months ago
Approximate isocontours and spatial summaries for sensor networks
We consider the problem of approximating a family of isocontours in a sensor field with a topologically-equivalent family of simple polygons. Our algorithm is simple and distribu...
Sorabh Gandhi, John Hershberger, Subhash Suri
ESA
2009
Springer
111views Algorithms» more  ESA 2009»
14 years 3 months ago
Exact and Approximate Equilibria for Optimal Group Network Formation
We consider a process called Group Network Formation Game, which represents the scenario when strategic agents are building a network together. In our game, agents can have extrem...
Elliot Anshelevich, Bugra Caskurlu
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 10 months ago
On the approximability of influence in social networks
In this paper, we study the spread of influence through a social network, in a model initially studied by Kempe, Kleinberg and Tardos [14, 15]: We are given a graph modeling a soc...
Ning Chen
DMSN
2004
ACM
14 years 1 months ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine