Kernel based online learning for imbalance multiclass classification

In this paper, we propose a weighted online sequential extreme learning machine with kernels (WOS-ELMK) for class imbalance learning (CIL). The existing online sequential extreme learning machine (OS-ELM) methods for CIL use random feature mapping. WOS-ELMK is the first OS-ELM method which uses kern...

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Bibliographic Details
Main Authors: Ding, Shuya, Mirza, Bilal, Lin, Zhiping, Cao, Jiuwen, Lai, Xiaoping, Nguyen, Tam Van, Sepulveda, Jose
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/138810
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Institution: Nanyang Technological University
Language: English