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» Network bargaining: algorithms and structural results
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PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
13 years 12 months ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
IDEAL
2007
Springer
13 years 12 months ago
A Framework to Analyze Biclustering Results on Microarray Experiments
Microarray technology produces large amounts of information to be manipulated by analysis methods, such as biclustering algorithms, to extract new knowledge. All-purpose multivaria...
Rodrigo Santamaría, Roberto Therón, ...
INFOCOM
2011
IEEE
12 years 9 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...
BMCBI
2006
101views more  BMCBI 2006»
13 years 5 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
UAI
1998
13 years 7 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman