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PVLDB
2010
97views more  PVLDB 2010»
13 years 6 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande
NIPS
2008
13 years 9 months ago
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
Dotan Di Castro, Dmitry Volkinshtein, Ron Meir
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 7 months ago
The dynamics of message passing on dense graphs, with applications to compressed sensing
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
Mohsen Bayati, Andrea Montanari
JACM
2006
93views more  JACM 2006»
13 years 7 months ago
Combining expert advice in reactive environments
"Experts algorithms" constitute a methodology for choosing actions repeatedly, when the rewards depend both on the choice of action and on the unknown current state of t...
Daniela Pucci de Farias, Nimrod Megiddo
COMCOM
2006
168views more  COMCOM 2006»
13 years 7 months ago
Relay node placement in large scale wireless sensor networks
Scalability and extended lifetime are two critical design goals of any large scale wireless sensor network. A two-tiered network model has been proposed recently for this purpose....
Jian Tang, Bin Hao, Arunabha Sen