Optimizing area under the ROC curve using semi-supervised learning
نویسندگان
چکیده
منابع مشابه
Optimizing Area Under Roc Curve with SVMs
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems misclassification costs are not known and thus, ROC curve and related metrics such as the Area Under ROC curve (AUC) can be a more meaningful performance measures. In this paper, we propose a quadratic programming bas...
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Permission is herewith granted to Università degli Studi di Cassino to circulate and to have copied for non-commercial purposes, at its discretion, the above title upon the request of individuals or institutions. Acknowledgements This work would not have been possible without the support I received from many people. A big thank you to all who have helped me in some way or other to complete this...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2015
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2014.07.025