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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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Furkejuvvon:
Váldodahkkit: Ekkarat Boonchieng, Wanchaloem Nadda
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Wiley 2025-03-01
Ráidu:Advanced Intelligent Systems
Fáttát:
auto‐encoding
data classification
data overlapping
extreme learning machine auto‐encoding
imbalanced data
Liŋkkat:https://doi.org/10.1002/aisy.202400255
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