High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications

This paper presents a complete approach to a successful utilization of a high-performance extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages in algorithmic performance; gives a fresh view on the ELM solution in relation to the traditional linear algebraic performa...

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Main Authors: Anton Akusok, Kaj-Mikael Bjork, Yoan Miche, Amaury Lendasse
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/7140733/
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spelling doaj-87626bdf05c44e80bd06a4aa52507db72021-03-29T19:33:36ZengIEEEIEEE Access2169-35362015-01-0131011102510.1109/ACCESS.2015.24504987140733High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data ApplicationsAnton Akusok0Kaj-Mikael Bjork1Yoan Miche2Amaury Lendasse3https://orcid.org/0000-0001-5410-4751Department of Mechanical and Industrial Engineering and the Iowa Informatics Initiative, The University of Iowa, Iowa, IA, USADepartment of Business Management and Analytics, Arcada University of Applied Sciences, Helsinki, Finland Nokia Solutions and Networks Group, Espoo, FinlandDepartment of Mechanical and Industrial Engineering and the Iowa Informatics Initiative, The University of Iowa, Iowa, IA, USAThis paper presents a complete approach to a successful utilization of a high-performance extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages in algorithmic performance; gives a fresh view on the ELM solution in relation to the traditional linear algebraic performance; and reaps the latest software and hardware performance achievements. The results are applicable to a wide range of machine learning problems and thus provide a solid ground for tackling numerous Big Data challenges. The included toolbox is targeted at enabling the full potential of ELMs to the widest range of users.https://ieeexplore.ieee.org/document/7140733/
collection DOAJ
language English
format Article
sources DOAJ
author Anton Akusok
Kaj-Mikael Bjork
Yoan Miche
Amaury Lendasse
spellingShingle Anton Akusok
Kaj-Mikael Bjork
Yoan Miche
Amaury Lendasse
High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
IEEE Access
author_facet Anton Akusok
Kaj-Mikael Bjork
Yoan Miche
Amaury Lendasse
author_sort Anton Akusok
title High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
title_short High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
title_full High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
title_fullStr High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
title_full_unstemmed High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
title_sort high-performance extreme learning machines: a complete toolbox for big data applications
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2015-01-01
description This paper presents a complete approach to a successful utilization of a high-performance extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages in algorithmic performance; gives a fresh view on the ELM solution in relation to the traditional linear algebraic performance; and reaps the latest software and hardware performance achievements. The results are applicable to a wide range of machine learning problems and thus provide a solid ground for tackling numerous Big Data challenges. The included toolbox is targeted at enabling the full potential of ELMs to the widest range of users.
url https://ieeexplore.ieee.org/document/7140733/
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AT kajmikaelbjork highperformanceextremelearningmachinesacompletetoolboxforbigdataapplications
AT yoanmiche highperformanceextremelearningmachinesacompletetoolboxforbigdataapplications
AT amaurylendasse highperformanceextremelearningmachinesacompletetoolboxforbigdataapplications
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