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ICML
2010
IEEE
15 years 7 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...
ICASSP
2010
IEEE
15 years 6 months ago
Distributed Lasso for in-network linear regression
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Juan Andrés Bazerque, Gonzalo Mateos, Georg...
ICIP
2005
IEEE
16 years 8 months ago
Distributed rate allocation for multi-stream video transmission over ad hoc networks
When multiple video streams are present in an ad hoc network, they share and compete for the common network resources. A rate allocation algorithm must balance the available resou...
Xiaoqing Zhu, Bernd Girod
ICDE
2007
IEEE
218views Database» more  ICDE 2007»
16 years 8 months ago
SKYPEER: Efficient Subspace Skyline Computation over Distributed Data
Skyline query processing has received considerable attention in the recent past. Mainly, the skyline query is used to find a set of non dominated data points in a multidimensional...
Akrivi Vlachou, Christos Doulkeridis, Yannis Kotid...
CAAN
2006
Springer
15 years 10 months ago
Distributed Routing in Tree Networks with Few Landmarks
We consider the problem of finding a short path between any two nodes of a network when no global information is available, nor any oracle to help in routing. A mobile agent, situa...
Ioannis Z. Emiris, Euripides Markou, Aris Pagourtz...