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MKPLS approach: switching strategies for the non-linear multi-kernel PLSR (Q964611)

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scientific article; zbMATH DE number 5697293
Language Label Description Also known as
English
MKPLS approach: switching strategies for the non-linear multi-kernel PLSR
scientific article; zbMATH DE number 5697293

    Statements

    title
    MKPLS approach: switching strategies for the non-linear multi-kernel PLSR (English)
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    author
    Paúl Rentería
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    R. R. Souza
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    Ruy L. Milidiú
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    publication date
    22 April 2010
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    review text
    A multi-kernel algorithm is proposed for multilinear partial least squares regression in which one kernel matrix is used for the number of first factors and another matrix is applied to the remaining ones. Kernel switching strategies based on the PRESS criterion are discussed. Results of nearly infrared spectral analysis are presented.
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    zbMATH Keywords
    locally linear regression
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    smoothing
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    partial least squares
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    PRESS
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    Identifiers

    Mathematics Subject Classification ID
    62J02
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    62J05
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    62H12
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    62-08
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    62P99
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    zbMATH DE Number
    5697293
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    OpenAlex ID
    W2044177182
    0 references
     
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