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Fuzzy community structure detection by particle competition and cooperation
(2013-04-01)
Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition ...
Total Flooding Time And Rumor Propagation On Graphs
(SpringerNew York, 2017)
Yang-Lee zeros of the two- and three-state Potts model defined on π3 Feynman diagrams
(Amer Physical Soc, 2003-06-01)
We present both analytical and numerical results on the position of partition function zeros on the complex magnetic field plane of the q=2 state (Ising) and the q=3 state Potts model defined on phi(3) Feynman diagrams ...
Texture analysis using graphs generated by deterministic partially self-avoiding walks
(ELSEVIER SCI LTD, 2011)
Texture is one of the most important visual attributes for image analysis. It has been widely used in image analysis and pattern recognition. A partially self-avoiding deterministic walk has recently been proposed as an ...
Design of novel antituberculosis compounds using graph-theoretical and substructural approaches
(SPRINGER, 2009)
The increasing resistance of Mycobacterium tuberculosis to the existing drugs has alarmed the worldwide scientific community. In an attempt to overcome this problem, two models for the design and prediction of new ...
Directed acyclic graphs in statistical modelling of epidemiological studies Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: Un complemento al modelamiento estadístico en estudios epidemiológicos observac
(Sociedad Medica de Santiago, 2018)
© 2018, Sociedad Medica de Santiago. All rights reserved. Background: Confusion in observational epidemiological studies distorts the relationship between exposure and event. “Step by step” regression models, diverts the ...