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Extreme Learning Machine (ELM) has shown its good generalization performance and extremely fast learning speed in many learning applications. Recently, it has been proved that ELM outperforms Support Vector Machine (SVM) with less constraints from the optimization point of view. ELM provides unified learning schemes with a widespread type of feature mappings. Among these unified algorithms, ELM with kernels applies kernels instead of random feature mappings. However, with the exponentiallydoi:10.1016/j.neucom.2014.01.070 fatcat:s7padb4yszaxtjylafpqtxntp4