Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
Data overlapping and imbalanced data are significant challenges in data classification. Extreme learning machine auto‐encoding (ELM‐AE) is a feature reduction method that transforms original features into a new set of features capturing essential information in the data. However, ELM‐AE may not effe...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Wiley
2025-03-01
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| Serie: | Advanced Intelligent Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1002/aisy.202400255 |
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