ELM-ML: Study on Multi-label Classification Using Extreme Learning Machine

Extreme learning machine (ELM) techniques have received considerable attention in computational intelligence and machine learning communities, because of the significantly low computational time. ELM provides solutions to regression, clustering, binary classification, multiclass classifications and so on, but not to multi-label learning. A thresholding method based ELM is proposed in this paper to adapted ELM for multi-label classification, called extreme learning machine for multi-label classification (ELM-ML). In comparison with other multi-label classification methods, ELM-ML outperforms them in several standard data sets in most cases, especially for applications which only have small labeled data set.

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