Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) (2007)
June 20, 2007 to June 22, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.94
Juan J. Rodriguez , Member, IEEE; University of Valladolid, Spain
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).
J. J. Rodriguez, "Rotation Forest and Random Oracles: Two Classifier Ensemble Methods," Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)(CBMS), Maribor, Slovenia, 2007, pp. 3.