LW-ELM: A Fast and Flexible Cost-Sensitive Learning Framework for Classifying Imbalanced Data
نویسندگان
چکیده
منابع مشابه
A Measure optimized cost-sensitive learning framework for imbalanced data classification
Class imbalance is one of the challenging problems for machine learning in many real-world applications. Many methods have been proposed to address and attempt to solve the problem, including sampling and cost-sensitive learning. The latter has attracted significant attention in recent years to solve the problem, but it is difficult to determine the precise misclassification costs in practice. ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2839340