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» Inferring Genetic Networks from Microarray Data
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IJAR
2010
152views more  IJAR 2010»
15 years 5 hour ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
EXPERT
2008
106views more  EXPERT 2008»
15 years 1 months ago
Behavioral Inference across Cultures: Using Telephones as a Cultural Lens
Abstract. The majority of humans today carry mobile telephones. These phones automatically capture behavioral data from virtually every human society, stored in service provider da...
Nathan Eagle
ITRE
2005
IEEE
15 years 7 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
ALT
2002
Springer
15 years 10 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
BMCBI
2010
172views more  BMCBI 2010»
14 years 8 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...