28 search results - page 1 / 6 » Ensemble Learning Based on Active Example Selection for Solv... |
BIBM
2009
IEEE
13 years 10 months ago
2009
IEEE
TCBB
2011
12 years 11 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
FLAIRS
2008
13 years 7 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
HIS
2008
13 years 6 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
KAIS
2010
13 years 3 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...