161 search results - page 5 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
MICAI
2007
Springer
14 years 1 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...
BMCBI
2006
13 years 7 months ago
2006
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
PAA
2002
13 years 7 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
IJCAI
1989
13 years 8 months ago
1989
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...