New Bounds on the Accuracy of Majority Voting for Multi-Class Classification

ePrint Report: New Bounds on the Accuracy of Majority Voting for Multi-Class Classification

Sina Aeeneh

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 majority voting function (MVF) finds applications in resolving conflicts, where a number of independent voters report their opinions on a classification problem. Despite its importance and its various applications in ensemble learning, data crowd-sourcing, remote sensing, and data oracles for …

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