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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Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Yi Ding, Hongyang Zhu, Ruyun Chen, Ronghui Li
Formáid: Alt
Teanga:English
Foilsithe / Cruthaithe: MDPI AG 2022-06-01
Sraith:Applied Sciences
Ábhair:
AdaBoost
Multiple Thresholds Classification
accuracy
generalization
Rochtain ar líne: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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