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Using Segmentation to Control the Retrieval of Data
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Cognition and Artificial Intelligence Lab (SCAI))
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Cognition and Artificial Intelligence Lab (SCAI))
2006 (English)In: The 2006 IEEE International Joint Conference on Neural Network Proceedings, IEEE, 2006, p. 1764-1769Conference paper, Published paper (Other academic)
Abstract [en]

One problem when storing sequential data using recurrent neural networks is that it is hard to preserve long term dependencies. Only the most recently stored data tend to be accurately recalled. One approach for reducing this recency effect has been to divide the data into segments and store the segments separately. This approach has provided promising results in prediction and classification domains. This paper analyzes in what way recall of the stored data is affected by segmentation. It is concluded that segmentation enables the control of which data that can be recalled. The problem of preserving long term dependencies in recurrent neural networks can therefore be reduced.

Place, publisher, year, edition, pages
IEEE, 2006. p. 1764-1769
Series
Proceedings of the International Joint Conference on Neural Networks, ISSN 2161-4393, E-ISSN 2161-4407
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:his:diva-1922DOI: 10.1109/IJCNN.2006.246649ISI: 000245125903024Scopus ID: 2-s2.0-40649115252ISBN: 0-7803-9490-9 (print)ISBN: 978-0-7803-9490-2 (print)OAI: oai:DiVA.org:his-1922DiVA, id: diva2:32198
Conference
2006 International Joint Conference on Neural Networks, IJCNN '06, Vancouver, BC, Canada, July 16-21, 2006
Available from: 2007-09-21 Created: 2007-09-21 Last updated: 2021-04-22Bibliographically approved

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Hansson, AndreasNiklasson, Lars

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf