1006 search results - page 1 / 202 » A Case Study for Learning from Imbalanced Data Sets |
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...
CSL
2006
Springer
13 years 4 months ago
2006
Springer
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
FSKD
2008
Springer
13 years 5 months ago
2008
Springer
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
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 ...