Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.94
Classification methods are widely used in computer-based medical systems. Often, the accuracy of a classifier can be improved using a classifier ensemble, the combination of several classifiers. Two classifiers ensembles and their results on several medical data sets will be presented: Rotation Forest (Rodr?guez, Kuncheva and Alonso) and Random Oracles (Kuncheva and Rodr?guez).
Citation:
Juan J. Rodriguez, "Rotation Forest and Random Oracles: Two Classifier Ensemble Methods," cbms, pp.3, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||