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» Approximations in Distributed Optimization
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139
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ATAL
2007
Springer
15 years 8 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
137
Voted
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 8 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
141
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TKDE
2002
123views more  TKDE 2002»
15 years 2 months ago
Coordinated Placement and Replacement for Large-Scale Distributed Caches
In a large-scale information system such as a digital library or the web, a set of distributed caches can improve their effectiveness by coordinating their data placement decisions...
Madhukar R. Korupolu, Michael Dahlin
159
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ICPPW
2009
IEEE
15 years 9 months ago
Dynamic Control and Resource Allocation in Wireless-Infrastructured Distributed Cellular Networks with OFDMA
—In this paper, we consider joint optimization of end-to-end data transmission and resource allocation for Wireless-Infrastructured Distributed Cellular Networks (WIDCNs), where ...
Lei You, Ping Wu, Mei Song, Junde Song, Yong Zhang
JCP
2007
118views more  JCP 2007»
15 years 2 months ago
Dynamic Nonuniform Data Approximation in Databases with Haar Wavelet
Abstract— Data synopsis is a lossy compressed representation of data stored into databases that helps the query optimizer to speed up the query process, e.g. time to retrieve the...
Su Chen, Antonio Nucci