1863 search results - page 6 / 373 » A supervised learning approach for imbalanced data sets |
CI
2004
13 years 7 months ago
2004
DAS
2008
Springer
13 years 9 months ago
2008
Springer
In classification tasks, class-modular strategy has been widely used. It has outperformed classical strategy for pattern classification task in many applications [1]. However, in ...
EMNLP
2009
13 years 5 months ago
2009
Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task...
NCA
2007
IEEE
13 years 7 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...