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PAC-Learning and Asymptotic System Identification Theory
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1996 (English)Report (Other academic)
Abstract [en]

In this paper we discuss PAC-learning of functions from a traditional system identification perspective. The well established asymptotic theory for the identified models' properties is reviewed from the PAC-learning perspective. The role of finite-dimensional, smooth parametrizations over compact parameter sets is spelled out. This also sets some limits for the interest of identification-theory type results in a learning-theory context.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1996. , 5 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1884
Keyword [en]
Learning theory, PAC learning
Keyword [sv]
Cybernetik Informationsteori, Maskinelement Servomekanismer Automation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55316ISRN: LiTH-ISY-R-1884OAI: oai:DiVA.org:liu-55316DiVA: diva2:316068
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-17Bibliographically approved

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Ljung, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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  • sv-SE
  • Other locale
More languages
Output format
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