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» Approximations in Distributed Optimization
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MANSCI
2008
122views more  MANSCI 2008»
14 years 11 months ago
Incorporating Asymmetric Distributional Information in Robust Value-at-Risk Optimization
Value-at-Risk (VaR) is one of the most widely accepted risk measures in the financial and insurance industries, yet efficient optimization of VaR remains a very difficult problem....
Karthik Natarajan, Dessislava Pachamanova, Melvyn ...
TON
2010
151views more  TON 2010»
14 years 6 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
PODS
2009
ACM
110views Database» more  PODS 2009»
16 years 7 days ago
Optimal tracking of distributed heavy hitters and quantiles
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
Ke Yi, Qin Zhang
KR
1992
Springer
15 years 3 months ago
Learning Useful Horn Approximations
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
Russell Greiner, Dale Schuurmans
DCOSS
2006
Springer
15 years 3 months ago
Contour Approximation in Sensor Networks
Abstract. We propose a distributed scheme called Adaptive-GroupMerge for sensor networks that, given a parameter k, approximates a geometric shape by a k-vertex polygon. The algori...
Chiranjeeb Buragohain, Sorabh Gandhi, John Hershbe...