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Reseach Article

Voting based Extreme Learning Machine with Accuracy based Ensemble Pruning

by Sanyam Shukla, R. N. Yadav
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 22
Year of Publication: 2015
Authors: Sanyam Shukla, R. N. Yadav

Sanyam Shukla, R. N. Yadav . Voting based Extreme Learning Machine with Accuracy based Ensemble Pruning. International Journal of Computer Applications. 115, 22 ( April 2015), 14-18. DOI=10.5120/20282-2837

@article{ 10.5120/20282-2837,
author = { Sanyam Shukla, R. N. Yadav },
title = { Voting based Extreme Learning Machine with Accuracy based Ensemble Pruning },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 22 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { },
doi = { 10.5120/20282-2837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:55:33.893627+05:30
%A Sanyam Shukla
%A R. N. Yadav
%T Voting based Extreme Learning Machine with Accuracy based Ensemble Pruning
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 22
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Extreme Learning Machine is a fast single layer feed forward neural network for real valued classification. It suffers from the problem of instability and over fitting. Voting based Extreme Learning Machine, VELM reduces this performance variation in Extreme Learning Machine by employing majority voting based ensembling technique. VELM improves the performance of ELM at the cost of increased redundancy. This problem can be reduced using ensemble pruning techniques. This work proposes and evaluates Voting based Extreme Learning Machine with Accuracy based ensemble Pruning, VELM_AP. VELM_AP generates component classifier in the same way as VELM.

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Index Terms

Computer Science
Information Sciences


Ensemble Pruning Extreme learning Machine