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t-sakai-kure/pywsl: Python codes for weakly GitHub

github.com

Main contributors. Tomoya Sakai · Han Bao · Ryuichi Kiryo. References. du Plessis, M. C., Niu, G., and Sugiyama, M. Convex formulation for learning from ...

[ ] Semi-Supervised AUC Optimization based on...

arxiv.org

Title: Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning. Authors: Tomoya Sakai, Gang Niu, Masashi Sugiyama. (Submitted on 4 May (v1), last revised 16 Oct (this version, v2)). Abstract: Maximizing the area under the receiver operating characteristic curve (AUC) is a standard approach ...