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» Decision making in very large networks
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QEST
2009
IEEE
15 years 4 months ago
Mean-Field Analysis for the Evaluation of Gossip Protocols
—Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial...
Rena Bakhshi, Lucia Cloth, Wan Fokkink, Boudewijn ...
IPPS
2006
IEEE
15 years 3 months ago
A dynamic firing speculation to speedup distributed symbolic state-space generation
The saturation strategy for symbolic state-space generation is very effective for globally-asynchronous locally-synchronous discrete-state systems. Its inherently sequential natu...
Ming-Ying Chung, Gianfranco Ciardo
FLAIRS
2008
15 years 5 days ago
One-Pass Learning Algorithm for Fast Recovery of Bayesian Network
An efficient framework is proposed for the fast recovery of Bayesian network classifier. A novel algorithm, called Iterative Parent-Child learningBayesian Network Classifier (IPC-...
Shunkai Fu, Michel Desmarais, Fan Li
ICDCN
2009
Springer
15 years 4 months ago
Tracking Dynamics Using Sensor Networks: Some Recurring Themes
Abstract. Much of the data consumed today is dynamic, typically gathered from distributed sources including sensors, and used in real-time monitoring and decision making applicatio...
Krithi Ramamritham
ANSS
2004
IEEE
15 years 1 months ago
Markov Model Based Congestion Control for TCP
The Random Early Detection (RED) scheme for congestion control in TCP is well known over a decade. Due to a number of control parameters in RED, it cannot make acceptable packet-d...
Shan Suthaharan