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Rotation Forest and Random Oracles: Two Classifier Ensemble Methods
Maribor, Slovenia June 20-June 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.94Twentieth IEEE International Symposiu ...
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Juan J. Rodriguez, "Rotation Forest and Random Oracles: Two Classifier Ensemble Methods," Computer-Based Medical Systems, IEEE Symposium on, pp. 3, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/CBMS.2007.94,
author = {Juan J. Rodriguez},
title = {Rotation Forest and Random Oracles: Two Classifier Ensemble Methods},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2007},
issn = {1063-7125},
pages = {3},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.94},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Rotation Forest and Random Oracles: Two Classifier Ensemble Methods
SN - 1063-7125
SP
EP
A1 - Juan J. Rodriguez,
PY - 2007
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
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).
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
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