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BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
IDA
2009
Springer
13 years 5 months ago
Exploiting Data Missingness in Bayesian Network Modeling
Sergio Rodrigues de Morais, Alex Aussem
BMCBI
2010
88views more  BMCBI 2010»
13 years 4 months ago
Linking genotype to phenotype with Bayesian network modeling of Chlamydia infection
Jesse D. Ziebarth, Bao Li, Isao Miyairi, Yan Cui
ICCSA
2003
Springer
14 years 21 days ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
PRL
2000
182views more  PRL 2000»
13 years 7 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen