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yan-prtools matlab toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc yan-prtools matlab toolbox
    Yan Prtools Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+prtools/pmc09123929-112-10-11
    Average 90 stars, based on 1 article reviews
    yan-prtools matlab toolbox - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Plasmid Preparation:

    Article Title: Automatic Conversational Scene Analysis in Children with Asperger Syndrome/High-Functioning Autism and Typically Developing Peers
    Article Snippet: one feature at a time, starting from the most frequent one, feeding two different classifiers and evaluating the LOO classification accuracy. .. As classifiers, we considered the K-nearest neighbor classifier (K = 3) and the linear Support Vector Machine, both implemented using the MATLAB Prtools . .. The classification performances are reported in , in relation to the number of features employed.

    Selection:

    Article Title: Automatic Conversational Scene Analysis in Children with Asperger Syndrome/High-Functioning Autism and Typically Developing Peers
    Article Snippet: one feature at a time, starting from the most frequent one, feeding two different classifiers and evaluating the LOO classification accuracy. .. As classifiers, we considered the K-nearest neighbor classifier (K = 3) and the linear Support Vector Machine, both implemented using the MATLAB Prtools . .. The classification performances are reported in , in relation to the number of features employed.



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    Separation boundaries in the generative score space with a) the K-nearest neighbor classifier and b) the Support Vector Machine classifier (the kernelc implementation of Prtools), both performed on the best features found by feature selection.

    Journal: PLoS ONE

    Article Title: Automatic Conversational Scene Analysis in Children with Asperger Syndrome/High-Functioning Autism and Typically Developing Peers

    doi: 10.1371/journal.pone.0085819

    Figure Lengend Snippet: Separation boundaries in the generative score space with a) the K-nearest neighbor classifier and b) the Support Vector Machine classifier (the kernelc implementation of Prtools), both performed on the best features found by feature selection.

    Article Snippet: As classifiers, we considered the K-nearest neighbor classifier (K = 3) and the linear Support Vector Machine, both implemented using the MATLAB Prtools .

    Techniques: Plasmid Preparation, Selection