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...
| Päätekijät: | , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
BMC
2010-08-01
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| Sarja: | BMC Bioinformatics |
| Linkit: | http://www.biomedcentral.com/1471-2105/11/427 |