201 search results - page 11 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
ICDM
2008
IEEE
14 years 2 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 ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
TKDE
2008
13 years 7 months ago
2008
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...