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linear binary svm classifier using matlab function fitcsvm  (MathWorks Inc)


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    MathWorks Inc linear binary svm classifier using matlab function fitcsvm
    Linear Binary Svm Classifier Using Matlab Function Fitcsvm, 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/binary+svm+classifier/pmc08765613-317-16-16
    Average 90 stars, based on 1 article reviews
    linear binary svm classifier using matlab function fitcsvm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Neural evidence for attentional resource allocation to postural control using body brain imaging.
    Article Snippet: We used the MATLAB function fitcsvm() to train the SVM, and the MATLAB function predict() to test the decoder.

    Article Title: Integration of head and body orientations in the macaque superior temporal sulcus is stronger for upright bodies
    Article Snippet: For the binary classification (pairs of head–body orientation angles) we employed the Matlab function fitcsvm.

    Article Title: Integration of head and body orientations in the macaque superior temporal sulcus is specific to upright bodies
    Article Snippet: For the binary classification (pairs of head-body orientation angles) we employed the Matlab function fitcsvm .

    Article Title: Integration of head and body orientations in the macaque superior temporal sulcus is stronger for upright bodies
    Article Snippet: For the binary classification (pairs of head–body orientation angles) we employed the Matlab function fitcsvm .

    Article Title: Unambiguous assignment of kinked beta sheets leads to insights into molecular grammar of reversibility in biomolecular condensates
    Article Snippet: We have used the MATLAB package called fitcsvm for the classification purpose.

    Article Title: Learning enhances behaviorally relevant representations in apical dendrites
    Article Snippet: Binary SVMs were trained separately for each epoch using the MATLAB function fitcsvm.

    Article Title: Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.
    Article Snippet: The MATLAB function fitcsvm() was applied to train the SVM when decoding 2 classes.

    Standard Deviation:

    Article Title: Title: Computer vision quantitation of erythrocyte shape abnormalities provides diagnostic, prognostic, and mechanistic insight Supplemental Materials 1.0 Supplemental Figures and Supplemental Tables
    Article Snippet: .. The models were trained using all 10 geometric features, after Z-normalization using the mean and standard deviation of each feature across the training set, and with hyperparameters optimized using MATLAB function fitcsvm. ..



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    System description.

    Journal: Biomedical Informatics Insights

    Article Title: Sentiment Analysis of Suicide Notes: A Shared Task

    doi: 10.4137/BII.S9042

    Figure Lengend Snippet: System description.

    Article Snippet: National Research Council Canada , NRC , Word unigrams and bigrams, thesaurus matches, character 4-grams, document length, various sentence-level patterns , None , 71061 , 608448/(71061 * 4633) = 0.00185 , Feature vectors normalized to unit length , Binary SVM; one-classifier-per-label , None , 10-fold cross validation , 0.5522.

    Techniques: Selection, Biomarker Discovery, Labeling, Expressing, Generated, Sequencing