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Abstract: We study the classification ability of majority-vote ensembles of classifiers. A majority ensemble classifies a pattern by letting each member of the ensemble cast a single vote for the correct class and decides according to a simple majority or a special majority vote. We give upper and lower bounds on the classification performance of a majority ensemble as a function of the classification performances of its individual members. Keywords: Ensembles, Multiple Models, Boosting, Majority Gates,... (Update)
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BibTeX entry: (Update)
@misc{ matan-voting,
author = "Ofer Matan",
title = "On Voting Ensembles of Classifiers (Extended Abstract)",
url = "citeseer.ist.psu.edu/38756.html" }
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