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142
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TEC
2008
15 years 4 months ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
142
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SPAA
2010
ACM
15 years 9 months ago
2010
ACM
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
158
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ML
2012
ACM
13 years 11 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
150
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ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
149
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MOBIHOC
2007
ACM
16 years 3 months ago
2007
ACM
Several centralized and distributed algorithms have been recently proposed to maximize the multicast lifetime for directional communications in wireless ad-hoc networks. Their per...