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...
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Main Authors: | Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber |
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Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1100/2012/278352 |
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