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135
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TPDS
2008
157views more  TPDS 2008»
15 years 29 days ago
Distributed Localization Using a Moving Beacon in Wireless Sensor Networks
The localization of sensor nodes is a fundamental problem in sensor networks and can be implemented using powerful and expensive beacons. Beacons, the fewer the better, can acquire...
Bin Xiao, Hekang Chen, Shuigeng Zhou
104
Voted
TSMC
2008
164views more  TSMC 2008»
15 years 29 days ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
136
Voted
BMCBI
2004
205views more  BMCBI 2004»
15 years 29 days ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
138
Voted
PIMRC
2010
IEEE
14 years 11 months ago
Power control versus multiuser detection based cross-layer design in wireless ad hoc networks
Abstract--In wireless ad hoc networks, multiple access interference is the limiting factor for the overall system performance. The lack of any central control unit necessitates a c...
Ulrike Korger, Christian Hartmann, Katsutoshi Kusu...
TNN
2010
234views Management» more  TNN 2010»
14 years 7 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes