Semi-supervised learning of class balance under class-prior change by distribution matching
نویسندگان
چکیده
منابع مشابه
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
In real-world classification problems, the class balance in the training dataset does not necessarily reflect that of the test dataset, which can cause significant estimation bias. If the class ratio of the test dataset is known, instance re-weighting or resampling allows systematical bias correction. However, learning the class ratio of the test dataset is challenging when no labeled data is a...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2014
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2013.11.010