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spider v1.71 matlab toolbox  (MathWorks Inc)


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    MathWorks Inc spider v1.71 matlab toolbox
    Spider V1.71 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/spider+v1%2E71+matlab+toolbox/pmc04545475-83-9-11
    Average 90 stars, based on 1 article reviews
    spider v1.71 matlab toolbox - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Selection:

    Article Title: Prediction of individual season of birth using MRI
    Article Snippet: For multiclass classification, a one vs. one linear kernel SVM with initial filter feature selection, leave-one-out cross validation, and Recursive Feature Elimination (RFE) was implemented using the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) with default regularization parameter C=1.

    Article Title: Prediction of individual season of birth using MRI
    Article Snippet: Binary SVM learning and classification was done using the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using default regularization parameter C=1.

    Article Title: Cortical functional connectivity decodes subconscious, task-irrelevant threat-related emotion processing
    Article Snippet: For SVM learning and classification we used the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using all default parameters (i.e. linear kernel SVM, regularization parameter C=1).

    Article Title: Decoding Unattended Fearful Faces with Whole-Brain Correlations: An Approach to Identify Condition-Dependent Large-Scale Functional Connectivity
    Article Snippet: For SVM learning and classification we used the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using all default parameters (i.e. linear kernel SVM, regularization parameter C = 1.

    Biomarker Discovery:

    Article Title: Prediction of individual season of birth using MRI
    Article Snippet: For multiclass classification, a one vs. one linear kernel SVM with initial filter feature selection, leave-one-out cross validation, and Recursive Feature Elimination (RFE) was implemented using the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) with default regularization parameter C=1.

    Article Title: Prediction of individual season of birth using MRI
    Article Snippet: Binary SVM learning and classification was done using the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using default regularization parameter C=1.

    Article Title: Cortical functional connectivity decodes subconscious, task-irrelevant threat-related emotion processing
    Article Snippet: For SVM learning and classification we used the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using all default parameters (i.e. linear kernel SVM, regularization parameter C=1).

    Article Title: Decoding Unattended Fearful Faces with Whole-Brain Correlations: An Approach to Identify Condition-Dependent Large-Scale Functional Connectivity
    Article Snippet: For SVM learning and classification we used the Spider v1.71 Matlab toolbox ( http://people.kyb.tuebingen.mpg.de/spider/ ) using all default parameters (i.e. linear kernel SVM, regularization parameter C = 1.



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    90
    MathWorks Inc spider v1.71 matlab toolbox
    Spider V1.71 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/spider+v1%2E71+matlab+toolbox/pmc04545475-83-9-11
    Average 90 stars, based on 1 article reviews
    spider v1.71 matlab toolbox - by Bioz Stars, 2026-09
    90/100 stars
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