Sequential extreme learning machines for class imbalance and concept drift
Class imbalance and concept drift are two problems commonly exist in sequential learning. A weighted online sequential extreme learning machine (WOS-ELM) algorithm is proposed that has a distinctive feature of class imbalance learning (CIL) in both the chunk-by-chunk and one-by-one modes. A new samp...
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Main Author: | Mirza Bilal |
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Other Authors: | Lin Zhiping |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/65290 |
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Institution: | Nanyang Technological University |
Language: | English |
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