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» Simone: large scale train network simulations
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86
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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
81
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsk...
INFOCOM
2007
IEEE
15 years 4 months ago
Paradox of Shortest Path Routing for Large Multi-Hop Wireless Networks
— In this paper, we analyze the impact of straight line routing in large homogeneous multi-hop wireless networks. We estimate the nodal load, which is defined as the number of p...
Sungoh Kwon, Ness B. Shroff
ICC
2007
IEEE
101views Communications» more  ICC 2007»
15 years 4 months ago
Predicting the Performance of Mobile Ad Hoc Networks Using Scaled-Down Replicas
—Experimentation with mobile ad hoc network testbeds is preferred to simulations for performing high fidelity testing. But, at the same time, realistic experimentation with larg...
Fragkiskos Papadopoulos, Konstantinos Psounis
CN
2006
166views more  CN 2006»
14 years 9 months ago
GLR: A novel geographic routing scheme for large wireless ad hoc networks
Wireless ad hoc routing has been extensively studied and many clever schemes have been proposed over the last several years. One class of ad hoc routing is geographic routing wher...
Jongkeun Na, Chong-kwon Kim