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» Bayesian networks for imputation in classification problems
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JIIS
2007
67views more  JIIS 2007»
13 years 4 months ago
Bayesian networks for imputation in classification problems
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nels...
ICML
2005
IEEE
14 years 5 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
BMCBI
2007
149views more  BMCBI 2007»
13 years 5 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
PRL
2000
182views more  PRL 2000»
13 years 4 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
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 4 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg