Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance
نویسندگان
چکیده
منابع مشابه
Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance
In many real-world classification problems, the class balance often changes between training and test datasets, due to sample selection bias or the non-stationarity of the environment. Naive classifier training under such changes of class balance systematically yields a biased solution. It is known that such a systematic bias can be corrected by weighted training according to the test class bal...
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1077-3142/$ see front matter 2013 Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.cviu.2013.10.005 q This paper has been recommended for acceptance by Nicu Sebe. ⇑ Corresponding authors. Addresses: Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China (F. Sun). Department of Cognitive Science, School of Information Science and Technology, Xiame...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2016
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2015edp7212