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APPROX
2008
Springer
137views Algorithms» more  APPROX 2008»
15 years 8 months ago
Approximating Directed Weighted-Degree Constrained Networks
Given a graph H = (V, F) with edge weights {w(e) : e F}, the weighted degree of a node v in H is {w(vu) : vu F}. We give bicriteria approximation algorithms for problems that see...
Zeev Nutov
JCSS
2010
146views more  JCSS 2010»
15 years 5 months ago
Connected facility location via random facility sampling and core detouring
We present a simple randomized algorithmic framework for connected facility location problems. The basic idea is as follows: We run a black-box approximation algorithm for the unc...
Friedrich Eisenbrand, Fabrizio Grandoni, Thomas Ro...
INFOCOM
2012
IEEE
13 years 9 months ago
Maximizing capacity with power control under physical interference model in duplex mode
—This paper addresses the joint selection and power assignment of a largest set of given links which can communicate successfully at the same time under the physical interference...
Peng-Jun Wan, Dechang Chen, Guojun Dai, Zhu Wang, ...
WAW
2007
Springer
144views Algorithms» more  WAW 2007»
16 years 22 days ago
Approximating Betweenness Centrality
Betweenness is a centrality measure based on shortest paths, widely used in complex network analysis. It is computationally-expensive to exactly determine betweenness; currently th...
David A. Bader, Shiva Kintali, Kamesh Madduri, Mil...
AUSAI
2005
Springer
16 years 5 days ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington