38 search results - page 1 / 8 » Bayesian networks for imputation in classification problems |
JIIS
2007
15 years 9 days ago
2007
80
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
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...
130
Voted
BMCBI
2007
15 years 12 days ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
126
Voted
PRL
2000
15 years 5 days ago
2000
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...
121
Voted
ML
2008
ACM
15 years 11 days ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...