92 search results - page 1 / 19 » Boosting for Learning Multiple Classes with Imbalanced Class... |
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
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...
TNN
2010
12 years 11 months ago
2010
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
MICAI
2007
Springer
13 years 11 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...