Stochastic AUC Optimization Algorithms With Linear Convergence

Area under the ROC curve (AUC) is a standard metric that is used to measure classification performance for imbalanced class data. Developing stochastic learning algorithms that maximize AUC over accuracy is of practical interest. However, AUC maximization presents a challenge since the learning obje...

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Үндсэн зохиолчид:	Michael Natole, Yiming Ying, Siwei Lyu
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2019-06-01
Цуврал:	Frontiers in Applied Mathematics and Statistics
Нөхцлүүд:	AUC maximization imbalanced data linear convergence stochastic optimization ROC curve
Онлайн хандалт:	https://www.frontiersin.org/article/10.3389/fams.2019.00030/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!