26 search results - page 2 / 6 » Restricted Decontamination for the Imbalanced Training Sampl... |
IPM
2008
13 years 4 months ago
2008
Authorship analysis of electronic texts assists digital forensics and anti-terror investigation. Author identification can be seen as a single-label multi-class text categorizatio...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
FLAIRS
2007
13 years 6 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
IBPRIA
2005
Springer
13 years 10 months ago
2005
Springer
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
FLAIRS
2008
13 years 6 months ago
2008
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...