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An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data

BACKGROUND: 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 classification problems, selecting the best performing cla...

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Bibliografski detalji
Glavni autori: Datta, Susmita, Pihur, Vasyl, Datta, Somnath
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2933716/
https://ncbi.nlm.nih.gov/pubmed/20716381
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-427
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