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» Modeling consumer situational choice of long distance commun...
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DSS
2008
91views more  DSS 2008»
13 years 4 months ago
Modeling consumer situational choice of long distance communication with neural networks
This study shows how artificial neural networks can be used to model consumer choice. Our study focuses on two key issues in neural network modeling
Michael Y. Hu, Murali S. Shanker, G. Peter Zhang, ...
ICC
2008
IEEE
167views Communications» more  ICC 2008»
13 years 11 months ago
Traceroute-Based Topology Inference without Network Coordinate Estimation
Abstract— Underlay topology information is important to construct efficient overlay networks. To achieve end-to-end network topology inference among a group of hosts, traceroute...
Xing Jin, Wanqing Tu, S.-H. Gary Chan
INFOCOM
2003
IEEE
13 years 10 months ago
Pricing strategies under heterogeneous service requirements
— This paper analyzes a communication network with heterogeneous customers. We investigate priority queueing as a way to differentiate between these users. Customers join the net...
Michel Mandjes
GLOBECOM
2007
IEEE
13 years 11 months ago
Evaluation of MIMO Techniques in FH-MA Ad Hoc Networks
—We consider an ad hoc network where frequency hopping (FH), convolutional coding and multiple antennas are employed in order to combat fading and multiple access (MA) interferen...
Kostas Stamatiou, John G. Proakis, James R. Zeidle...
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 4 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...