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Sep, 2023
多类别分类中多数投票准确性的新界限
New Bounds on the Accuracy of Majority Voting for Multi-Class Classification
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Sina Aeeneh, Nikola Zlatanov, Jiangshan Yu
TL;DR
绝对多数投票函数(Majority Voting Function)在多类别分类问题中的精度存在上界,并且在某些条件下随着独立投票者的数量增加,错误率指数级地趋近于零,否则错误率也指数级地增加,同时提到了整合算法的精度和真实发现算法的问题。
Abstract
majority voting
is a simple mathematical function that returns the value that appears most often in a set. As a popular
decision fusion technique
, the
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