Learning ELM network weights using linear discriminant analysis

Philip De Chazal; Jonathan Tapson; André van Schaik

doi:10.1007/978-3-319-14063-6_16

Learning ELM network weights using linear discriminant analysis

Philip De Chazal
, Jonathan Tapson
, André van Schaik

MARCS Institute for Brain, Behaviour & Development

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method is based on linear discriminant analysis and provides Bayes optimal single point estimates for the weight values.

Original language	English
Title of host publication	Proceedings of ELM-2014. Volume 1, Algorithms and Theories
Publisher	Springer
Pages	183-191
Number of pages	9
ISBN (Print)	9783319140636
DOIs	https://doi.org/10.1007/978-3-319-14063-6_16
Publication status	Published - 2015
Event	International Conference on Extreme Learning Machines - Duration: 8 Dec 2014 → …

Conference

Conference	International Conference on Extreme Learning Machines
Period	8/12/14 → …

Keywords

artificial intelligence
computational intelligence
machine learning

Access to Document

10.1007/978-3-319-14063-6_16

Cite this

@inproceedings{c69ce009aef94132baea221592ca86b5,

title = "Learning ELM network weights using linear discriminant analysis",

abstract = "We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method is based on linear discriminant analysis and provides Bayes optimal single point estimates for the weight values.",

keywords = "artificial intelligence, computational intelligence, machine learning",

author = "\{De Chazal\}, Philip and Jonathan Tapson and Schaik, \{Andr{\'e} van\}",

year = "2015",

doi = "10.1007/978-3-319-14063-6\_16",

language = "English",

isbn = "9783319140636",

pages = "183--191",

booktitle = "Proceedings of ELM-2014. Volume 1, Algorithms and Theories",

publisher = "Springer",

note = "International Conference on Extreme Learning Machines ; Conference date: 08-12-2014",

}

TY - GEN

T1 - Learning ELM network weights using linear discriminant analysis

AU - De Chazal, Philip

AU - Tapson, Jonathan

AU - Schaik, André van

PY - 2015

Y1 - 2015

N2 - We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method is based on linear discriminant analysis and provides Bayes optimal single point estimates for the weight values.

AB - We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method is based on linear discriminant analysis and provides Bayes optimal single point estimates for the weight values.

KW - artificial intelligence

KW - computational intelligence

KW - machine learning

UR - http://handle.uws.edu.au:8081/1959.7/uws:29211

UR - http://www3.ntu.edu.sg/home/egbhuang/ELM2014/

U2 - 10.1007/978-3-319-14063-6_16

DO - 10.1007/978-3-319-14063-6_16

M3 - Conference Paper

SN - 9783319140636

SP - 183

EP - 191

BT - Proceedings of ELM-2014. Volume 1, Algorithms and Theories

PB - Springer

T2 - International Conference on Extreme Learning Machines

Y2 - 8 December 2014

ER -

Learning ELM network weights using linear discriminant analysis

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this