Semi-supervised AUC optimization based on positive-unlabeled learning
نویسندگان
چکیده
منابع مشابه
Semi-Supervised AUC Optimization without Guessing Labels of Unlabeled Data
Semi-supervised learning, which aims to construct learners that automatically exploit the large amount of unlabeled data in addition to the limited labeled data, has been widely applied in many real-world applications. AUC is a well-known performance measure for a learner, and directly optimizing AUC may result in a better prediction performance. Thus, semi-supervised AUC optimization has drawn...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2017
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-017-5678-9