1420 search results - page 12 / 284 » Cluster Ensemble Selection |
HAIS
2010
Springer
15 years 5 months ago
2010
Springer
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
62
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ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
ICMLA
2008
15 years 1 months ago
2008
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
127
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TEC
2008
15 years 10 days ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
108
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SAC
2009
ACM
15 years 7 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...