Weighted online sequential extreme learning machine for class imbalance learning
Most of the existing sequential learning methods for class imbalance learn data in chunks. In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). WOS-ELM is a general online learning method that alleviates the class imb...
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格式: | Article |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/101064 http://hdl.handle.net/10220/16690 |
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