548 search results - page 1 / 110 » Iterated importance sampling in missing data problems |
CSDA
2006
13 years 4 months ago
2006
JMLR
2008
13 years 4 months ago
2008
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We introduce a missing data recovery methodology based on a weighted least squares iterative adaptive approach (IAA). The proposed method is referred to as the missing-data IAA (M...
BMCBI
2006
13 years 4 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...