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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22899
Abstract: Previous class imbalance learning methods are mostly grounded on the assumption that all training data have been labeled, however, is impractical in many real‐world applications. The limited amount of labeled instances may produce a classifier…
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Keywords:
transfer weighted;
classification;
weighted extreme;
learning machine ... See more keywords
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Published in 2017 at "Machine Vision and Applications"
DOI: 10.1007/s00138-017-0828-4
Abstract: The original extreme learning machine (ELM) was designed for the balanced data, and it balanced misclassification cost of every sample to get the solution. Weighted extreme learning machine assumed that the balance can be achieved…
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Keywords:
machine;
extreme learning;
learning machine;
weighted extreme ... See more keywords