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162
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TON
2010
151views more  TON 2010»
14 years 4 months ago
Throughput Optimal Distributed Power Control of Stochastic Wireless Networks
The Maximum Differential Backlog (MDB) control policy of Tassiulas and Ephremides has been shown to adaptively maximize the stable throughput of multihop wireless networks with ran...
Yufang Xi, Edmund M. Yeh
110
Voted
SYNTHESE
2008
84views more  SYNTHESE 2008»
14 years 10 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
ISAAC
2009
Springer
169views Algorithms» more  ISAAC 2009»
15 years 4 months ago
The Complexity of Solving Stochastic Games on Graphs
We consider some well-known families of two-player zero-sum perfect-information stochastic games played on finite directed graphs. Generalizing and unifying results of Liggett and...
Daniel Andersson, Peter Bro Miltersen
103
Voted
ICANN
2001
Springer
15 years 2 months ago
Fast Curvature Matrix-Vector Products
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
Nicol N. Schraudolph
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 1 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin