The n-tuple classifier: too good to ignore

Michal Morciniec, Richard Rohwer

    Research output: Working paperTechnical report

    Abstract

    The n-tuple pattern recognition method has been tested using a selection of 11 large data sets from the European Community StatLog project, so that the results could be compared with those reported for the 23 other algorithms the project tested. The results indicate that this ultra-fast memory-based method is a viable competitor with the others, which include optimisation-based neural network algorithms, even though the theory of memory-based neural computing is less highly developed in terms of statistical theory.
    Original languageEnglish
    Place of PublicationBirmingham
    PublisherAston University
    Number of pages11
    ISBN (Print)NCRG/95/013
    Publication statusUnpublished - 15 Jun 1995

    Fingerprint

    pattern recognition
    European Union
    method
    project

    Keywords

    • n-tuple
    • pattern recognition
    • ultra-fast memory-based method
    • optimisation-based neural network algorithms

    Cite this

    Morciniec, M., & Rohwer, R. (1995). The n-tuple classifier: too good to ignore. Birmingham: Aston University.
    Morciniec, Michal ; Rohwer, Richard. / The n-tuple classifier: too good to ignore. Birmingham : Aston University, 1995.
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    Morciniec, M & Rohwer, R 1995 'The n-tuple classifier: too good to ignore' Aston University, Birmingham.

    The n-tuple classifier: too good to ignore. / Morciniec, Michal; Rohwer, Richard.

    Birmingham : Aston University, 1995.

    Research output: Working paperTechnical report

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    Morciniec M, Rohwer R. The n-tuple classifier: too good to ignore. Birmingham: Aston University. 1995 Jun 15.