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Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study

A pooling design can be used as a powerful strategy to compensate for limited amounts of samples or high biological variation. In this paper, we perform a comparative study to model and quantify the effects of virtual pooling on the performance of the widely applied classifiers, support vector machi...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Kusonmano, Kanthida, Netzer, Michael, Baumgartner, Christian, Dehmer, Matthias, Liedl, Klaus R., Graber, Armin
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: The Scientific World Journal 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3361225/
https://ncbi.nlm.nih.gov/pubmed/22654582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1100/2012/278352
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