An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
<p>Abstract</p> <p>Background</p> <p>Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal in any given classification application. In addition, for most cla...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2010-08-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/11/427 |