Evolving ensemble fuzzy classifier
The concept of ensemble learning offers a promising avenue in learning from data streams under complex environments because it better addresses the bias and variance dilemma than its single-model counterpart and features a reconfigurable structure, which is well suited to the given context. While va...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/105667 http://hdl.handle.net/10220/48715 https://doi.org/10.21979/N9/9QM7H6 |
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| Institution: | Nanyang Technological University |
| Language: | English |