230 search results - page 6 / 46 » Experiments with Improved Approximate Mean Value Analysis Al... |
DAWAK
2009
Springer
14 years 2 months ago
2009
Springer
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
ICCV
2009
IEEE
15 years 18 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
SIAMSC
2011
13 years 2 months ago
2011
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
BMCBI
2006
13 years 7 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...