High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
Department of Mechanical and Industrial Engineering and the Iowa Informatics Initiative, The University of Iowa, Iowa City, IA 52242-1527, USA
IEEE Access, Volume: PP, Issue: 99, 2015
@article{akusok2015high,
title={High Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications},
author={Akusok, Anton and Bjork, Kaj-Mikael and Miche, Yoan and Lendasse, Amaury},
publisher={IEEE},
year={2015}
}
This work 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 Extreme Learning Machines to the widest range of users.
July 6, 2015 by hgpu
