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Multi-expert Systems

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Book cover Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

In this paper, a multi-expert classification system (MECS), composed of two main parts performing the so-called multi-stage classification (MSC) and multi-expert classification (MEC), is proposed. The former (MSC) produces either correct decisions or the ”I do not know” (IDNK) answers, so there are not misclassifications. The latter (MEC) is a parallel system that includes different classifiers, for the objects not classified by the MSC system (resulting in the IDNK answers). A medical diagnosis example illustrates the perception-based approach employed in the MSC system, and the need for application of the MEC system.

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© 2004 Springer-Verlag Berlin Heidelberg

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Rutkowska, D. (2004). Multi-expert Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_85

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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