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» A theoretical framework for multiple neural network systems
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CIKM
2009
Springer
14 years 2 months ago
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
Hyunsik Choi, Jihoon Son, YongHyun Cho, Min Kyoung...
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
NETWORKING
2011
12 years 10 months ago
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point
Short-range, point-to-point communications for mobile users enjoy increasing popularity, particularly with the rise in Bluetooth-equipped mobile devices. Unfortunately, virus write...
Nicholas Valler, B. Aditya Prakash, Hanghang Tong,...
ICC
2009
IEEE
160views Communications» more  ICC 2009»
13 years 5 months ago
Reliability and Efficiency Analysis of Distributed Source Coding in Wireless Sensor Networks
We propose a comprehensive theoretical framework to evaluate reliability and energy consumption of distributed source coding (DSC) in wireless sensor networks (WSNs) applications. ...
Carlo Fischione, Stefano Tennina, Fortunato Santuc...
ICC
2009
IEEE
111views Communications» more  ICC 2009»
14 years 2 months ago
A Study of the Percolation Threshold for k-Collaborative Wireless Networks
—How to efficiently use the air interface is a crucial issue in wireless networks. In order to improve the performance, mechanisms have been proposed to improve the reach and th...
Cédric Westphal