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Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classifcation

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As a machine learning method with high performance and excellent generalization ability, extreme learning machine (ELM) is gaining popularity in various studies. Various ELM-based methods for diferent felds have been proposed. However, the robustness to noise and outliers is always the main problem afecting the perfor‑ mance of ELM. |