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» Decision making in very large networks
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QEST
2009
IEEE
16 years 26 days 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
16 years 5 days 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 8 months 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
16 years 28 days 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 10 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