An Efficient AdaBoost Algorithm with the Multiple Thresholds Classification

An Efficient AdaBoost Algorithm with the Multiple Thresholds Classification

Adaptive boost (AdaBoost) is a prominent example of an ensemble learning algorithm that combines weak classifiers into strong classifiers through weighted majority voting rules. AdaBoost’s weak classifier, with threshold classification, tries to find the best threshold in one of the data dimensions,...

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Bibliographic Details
Main Authors: Yi Ding, Hongyang Zhu, Ruyun Chen, Ronghui Li
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
AdaBoost
Multiple Thresholds Classification
accuracy
generalization
Online Access:https://www.mdpi.com/2076-3417/12/12/5872

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https://www.mdpi.com/2076-3417/12/12/5872

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