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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Yi Ding, Hongyang Zhu, Ruyun Chen, Ronghui Li
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2022-06-01
Цуврал:	Applied Sciences
Нөхцлүүд:	AdaBoost Multiple Thresholds Classification accuracy generalization
Онлайн хандалт:	https://www.mdpi.com/2076-3417/12/12/5872
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!