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COMCOM
2011
15 years 3 days ago
Reconstructing social interactions using an unreliable wireless sensor network
In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed ...
Adrien Friggeri, Guillaume Chelius, Eric Fleury, A...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
15 years 3 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
BMCBI
2008
228views more  BMCBI 2008»
15 years 5 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
123
Voted
CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 5 months ago
An Analysis of Transaction and Joint-patent Application Networks
Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their compet...
Hiroyasu Inoue
167
Voted
JMLR
2006
169views more  JMLR 2006»
15 years 5 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...