1950 search results - page 1 / 390 » Informative sampling for large unbalanced data sets |
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
DMIN
2007
13 years 6 months ago
2007
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
BMCBI
2006
13 years 4 months ago
2006
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
KDD
2002
ACM
14 years 4 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...