Relaxed abduction[electronic resourc...
Hubauer, Thomas.

 

  • Relaxed abduction[electronic resource] :robust information interpretation for industrial applications /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 518.63
    書名/作者: Relaxed abduction : robust information interpretation for industrial applications // by Thomas Hubauer.
    作者: Hubauer, Thomas.
    出版者: Wiesbaden : : Springer Fachmedien Wiesbaden :, 2016.
    面頁冊數: xvii, 134 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Relaxation methods (Mathematics)
    標題: Robust optimization.
    標題: Computer Science.
    標題: Mathematics of Computing.
    標題: Computing Methodologies.
    標題: Appl.Mathematics/Computational Methods of Engineering.
    ISBN: 9783658144074
    ISBN: 9783658144067
    內容註: Formalizing Diagnostics Using Description Logics -- Formalization and Properties of Relaxed Abduction -- Solving Diagnostic Problems Using Relaxed Abduction -- Incremental Diagnostics.
    摘要、提要註: Thomas Hubauer addresses the challenge of providing reasonable interpretations of incomplete observational data in the context of imperfect domain models - a situation often encountered in the context of industrial diagnostics. To tackle this problem, the author proposes a novel approach called Relaxed Abduction, which is able to derive pragmatic interpretations in situations where existing methods either fail or provide overly complex solutions. To strengthen the link to applications in industrial diagnostics, he develops a methodology to structure diagnosis problems according to ISO 13379 and express it using multiple description logic knowledge bases. Contents Formalizing Diagnostics Using Description Logics Formalization and Properties of Relaxed Abduction Solving Diagnostic Problems Using Relaxed Abduction Incremental Diagnostics Target Groups Researchers and students of computer science, knowledge management, and applied mathematics Practitioners in the area of industrial diagnostics and maintenance The Author Thomas Hubauer is a Research Scientist at the R&D department of a large German engineering company. His topics of interest range from ontologies and reasoning to machine learning and data analytics.
    電子資源: http://dx.doi.org/10.1007/978-3-658-14407-4
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