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» The topology of dark networks
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ICML
2005
IEEE
16 years 2 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
16 years 2 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
GLOBECOM
2007
IEEE
15 years 8 months ago
Colouring Link-Directional Interference Graphs in Wireless Ad Hoc Networks
—In this paper, we clarify inter-link interference in wireless ad-hoc networks by using link-directional interference graphs (l-graph). Most of the interference graphs in the lit...
Ping Chung Ng, David J. Edwards, Soung Chang Liew
117
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ICCS
2007
Springer
15 years 8 months ago
Securely Deliver Data by Multi-path Routing Scheme in Wireless Mesh Networks
Wireless Mesh Networks with static Transit Access Points (TAPs) have many advantages to connect different kinds of networks. While Mobile Ad hoc Networks still have many challenges...
Cao Trong Hieu, Choong Seon Hong
ADHOCNOW
2005
Springer
15 years 7 months ago
Performance Analysis of the Hierarchical Layer Graph for Wireless Networks
The Hierarchical Layer Graph (HL graph) is a promising network topology for wireless networks with variable transmission ranges. It was introduced and analyzed by Meyer auf der He...
Stefan Rührup, Christian Schindelhauer, Klaus...