36 search results - page 2 / 8 » Improving Multilabel Classification Performance by Using Ens... |
DMIN
2006
13 years 6 months ago
2006
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
CLEF
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
IEEECIT
2007
IEEE
13 years 11 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
ISMIS
2003
Springer
13 years 9 months ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...