625 search results - page 58 / 125 » Approximating Travel Times Using Opportunistic Networking |
144
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JUCS
2008
15 years 4 months ago
2008
Abstract: Nowadays, more and more users make use of web-based collaborative systems. Users participate in communities or search for and provide information in webbased systems. The...
133
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KDD
2003
ACM
16 years 5 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
165
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IPSN
2009
Springer
15 years 11 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
122
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IPPS
2005
IEEE
15 years 10 months ago
2005
IEEE
The Chained Lin-Kernighan algorithm (CLK) is one of the best heuristics to solve Traveling Salesman Problems (TSP). In this paper a distributed algorithm is proposed, were nodes i...
138
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INFOCOM
2012
IEEE
13 years 7 months ago
2012
IEEE
—Knowledge of a network’s topology and internal characteristics such as delay times or losses is crucial to maintain seamless operation of network services. Network tomography ...