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oaioai:helvia.uco.es:10396/3949

Improving multiclass pattern recognition by the combination of two strategies

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Publication date
1 January 2006
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
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    Abstract

    We present a new method of multiclass classification based on the combination of one- vs- all method and a modification of one- vs- one method. This combination of one- vs- all and one- vs- one methods proposed enforces the strength of both methods. A study of the behavior of the two methods identifies some of the sources of their failure. The performance of a classifier can be improved if the two methods are combined in one, in such a way that the main sources of their failure are partially avoided

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    Repositorio Institucional de la Universidad de Córdoba

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    oaioai:helvia.uco.es:10396/3949
    Last time updated on 17/11/2016

    This paper was published in Repositorio Institucional de la Universidad de Córdoba.

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