99 search results - page 2 / 20 » A Hybrid Re-sampling Method for SVM Learning from Imbalanced... |
AI
2001
Springer
13 years 9 months ago
2001
Springer
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
FLAIRS
2007
13 years 7 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...
CI
2004
13 years 4 months ago
2004
TCBB
2011
12 years 12 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...
RSCTC
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...