Voting based extreme learning machine

Authors:
Jiuwen Cao;Zhiping Lin;Guang-Bin Huang;Nan Liu
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;Department of Emergency Medicine, Singapore General Hospital, Outram Road, Singapore 169608, Singapore
Venue:
Information Sciences: an International Journal
Year:
2012

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Abstract

This paper proposes an improved learning algorithm for classification which is referred to as voting based extreme learning machine. The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications. Simulations on many real world classification datasets have demonstrated that this algorithm generally outperforms the original ELM algorithm as well as several recent classification algorithms.