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Date store management in sliding window based on-line identification algorithms

Sliding window identification algorithms use information from a store of data to optimise on-line learning. A key element of this process is data store management. This paper provides a brief overview of several sliding window algorithms used in on-line identification. Various data store methods are...

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Main Authors: Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George W
Format: Conference or Workshop Item
Published: 2001
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
Online Access:http://www.issc.ie/site/view/3/
http://eprints.utp.edu.my/3909/
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id my.utp.eprints.3909
record_format eprints
spelling my.utp.eprints.39092011-01-13T05:52:55Z Date store management in sliding window based on-line identification algorithms Asirvadam , Vijanth Sagayan McLoone, Sean Irwin, George W TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Sliding window identification algorithms use information from a store of data to optimise on-line learning. A key element of this process is data store management. This paper provides a brief overview of several sliding window algorithms used in on-line identification. Various data store methods are then proposed. A new pre-window filtering strategy is also introduced. Simulation results demonstrate the potential of the approaches considered. 2001-06 Conference or Workshop Item PeerReviewed http://www.issc.ie/site/view/3/ Asirvadam , Vijanth Sagayan and McLoone, Sean and Irwin, George W (2001) Date store management in sliding window based on-line identification algorithms. In: Irish Signals and Systems Conference, 2001, 25-27 June 2001, Maynooth Ireland. http://eprints.utp.edu.my/3909/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
QA75 Electronic computers. Computer science
Asirvadam , Vijanth Sagayan
McLoone, Sean
Irwin, George W
Date store management in sliding window based on-line identification algorithms
description Sliding window identification algorithms use information from a store of data to optimise on-line learning. A key element of this process is data store management. This paper provides a brief overview of several sliding window algorithms used in on-line identification. Various data store methods are then proposed. A new pre-window filtering strategy is also introduced. Simulation results demonstrate the potential of the approaches considered.
format Conference or Workshop Item
author Asirvadam , Vijanth Sagayan
McLoone, Sean
Irwin, George W
author_facet Asirvadam , Vijanth Sagayan
McLoone, Sean
Irwin, George W
author_sort Asirvadam , Vijanth Sagayan
title Date store management in sliding window based on-line identification algorithms
title_short Date store management in sliding window based on-line identification algorithms
title_full Date store management in sliding window based on-line identification algorithms
title_fullStr Date store management in sliding window based on-line identification algorithms
title_full_unstemmed Date store management in sliding window based on-line identification algorithms
title_sort date store management in sliding window based on-line identification algorithms
publishDate 2001
url http://www.issc.ie/site/view/3/
http://eprints.utp.edu.my/3909/
_version_ 1738655305148923904
score 13.160551

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