Feature selected cost-sensitive twin SVM for imbalanced data
نویسندگان
چکیده
منابع مشابه
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Class imbalance is a common problem in the case of real-world object detection and classification tasks. Data of some classes are abundant, making them an overrepresented majority, and data of other classes are scarce, making them an underrepresented minority. This imbalance makes it challenging for a classifier to appropriately learn the discriminating boundaries of the majority and minority c...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2020
ISSN: 2261-236X
DOI: 10.1051/matecconf/202030905013