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» Network Inference from Co-Occurrences
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136
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BMCBI
2010
147views more  BMCBI 2010»
15 years 3 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
137
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MST
2010
155views more  MST 2010»
14 years 10 months ago
Stochastic Models and Adaptive Algorithms for Energy Balance in Sensor Networks
We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
Pierre Leone, Sotiris E. Nikoletseas, José ...
97
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PERCOM
2004
ACM
16 years 3 months ago
Employing User Feedback for Fast, Accurate, Low-Maintenance Geolocationing
One way to improve inferences on sensor data is to tune the algorithms through a time-consuming offline procedure. A less expensive, and potentially more accurate method is to use...
Ezekiel S. Bhasker, Steven W. Brown, William G. Gr...
131
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SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
15 years 9 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
133
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IJDMB
2008
105views more  IJDMB 2008»
15 years 3 months ago
Temporal representation for gene networks: towards a qualitative temporal data mining
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
Nicolas Turenne, Sylviane R. Schwer