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Decision-theoretic troubleshooting: hardness of approximation

  1. 1.
    SYSNO ASEP0381692
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleDecision-theoretic troubleshooting: hardness of approximation
    Author(s) Lín, Václav (UTIA-B)
    Source TitleProceedings of the Sixth European Workshop on Probabilistic Graphical Models, PGM'12. - Granada : DECSAI, University of Granada, 2012 - ISBN 978-84-15536-57-4
    Pagess. 195-202
    Number of pages8 s.
    Publication formOnline - E
    ActionSixth European Workshop on Probabilistic Graphical Models
    Event date19.09.2012-21.09.2012
    VEvent locationGranada
    CountryES - Spain
    Event typeEUR
    Languageeng - English
    CountryES - Spain
    KeywordsTroubleshooting ; Bayesian networks ; Approximation
    Subject RIVBC - Control Systems Theory
    Institutional supportUTIA-B - RVO:67985556
    AnnotationTroubleshooting is one of the application areas of Bayesian networks. Given a probabilistic model of a malfunctioning device, the task is to find the repair strategy with minimal expected cost. Except for simple cases, finding an optimal strategy is NP-hard. We show that optimal troubleshooting strategies are also hard to approximate.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2013
Number of the records: 1  

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