548 search results - page 10 / 110 » Iterated importance sampling in missing data problems |
141
Voted
JSS
2007
15 years 6 months ago
2007
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
173
Voted
EOR
2007
15 years 6 months ago
2007
Many researchers see the need for reject inference in credit scoring models to come from a sample selection problem whereby a missing variable results in omitted variable bias. Al...
143
Voted
ISBI
2009
IEEE
16 years 1 months ago
2009
IEEE
Various cortical measures such as cortical thickness are routinely computed along the vertices of cortical surface meshes. These metrics are used in surface-based morphometric stu...
164
Voted
ECML
2007
Springer
16 years 16 days ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
167
Voted
BMCBI
2010
15 years 6 months ago
2010
Background: Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncov...