Voting based extreme learning machine

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 class...

Full description

Saved in:

Bibliographic Details
Main Authors:	Cao, Jiuwen, Lin, Zhiping, Huang, Guang-Bin, Liu, Nan
Other Authors:	School of Electrical and Electronic Engineering
Format:	Article
Language:	English
Published:	2013
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-100354
record_format	dspace
spelling	sg-ntu-dr.10356-1003542020-03-07T14:00:33Z Voting based extreme learning machine Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. 2013-09-23T08:00:20Z 2019-12-06T20:21:00Z 2013-09-23T08:00:20Z 2019-12-06T20:21:00Z 2011 2011 Journal Article Cao, J., Lin, Z., Huang, G.-B., & Liu, N. (2011). Voting based extreme learning machine. Information Sciences, 185(1), 66–77. https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604 10.1016/j.ins.2011.09.015 en Information sciences
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan Voting based extreme learning machine
description	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.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan
format	Article
author	Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan
author_sort	Cao, Jiuwen
title	Voting based extreme learning machine
title_short	Voting based extreme learning machine
title_full	Voting based extreme learning machine
title_fullStr	Voting based extreme learning machine
title_full_unstemmed	Voting based extreme learning machine
title_sort	voting based extreme learning machine
publishDate	2013
url	https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604
_version_	1681040355849404416

Voting based extreme learning machine

Similar Items