A novel reformed reduced kernel extreme learning machine with RELIEF-F for classification

With the exponential growth of the Internet population, scientists and researchers face the large-scale data for processing. However, the traditional algorithms, due to their complex computation, are not suitable for the large-scale data, although they play a vital role in dealing with large-scale d...

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Bibliographic Details
Main Authors: Liu, Zongying, Hao, Jiangling, Yang, Dongrui, Tahir, Ghalib Ahmed, Pan, Mingyang
Format: Article
Published: Hindawi 2022
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Online Access:http://eprints.um.edu.my/42962/
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Institution: Universiti Malaya

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