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tde-hmm implemented within the hmm-mar matlab toolbox  (MathWorks Inc)


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    MathWorks Inc tde-hmm implemented within the hmm-mar matlab toolbox
    Tde Hmm Implemented Within The Hmm Mar 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/hmm+matlab+implementation/pmc10661239-93-3-8
    Average 90 stars, based on 1 article reviews
    tde-hmm implemented within the hmm-mar matlab toolbox - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Sequencing:

    Article Title: Hidden Markov Model and Support Vector Machine based decoding of finger movements using Electrocorticography
    Article Snippet: .. Equivalent plots for the SVM are shown in supplementary figure 10 . fig ft0 fig mode=article f1 Fig. 10 caption a4 caption a8 Mean HMM decoding rates decomposed into true positive rates for each finger For the classification of one feature sequence including all T samples the HMM Matlab implementation took on average (3.522 +/− 0.036) ms and the SVM implementation in C (0.0281 +/− 0.0034) ms. ..



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    Table 4

    Journal: Journal of neural engineering

    Article Title: Hidden Markov Model and Support Vector Machine based decoding of finger movements using Electrocorticography

    doi: 10.1088/1741-2560/10/5/056020

    Figure Lengend Snippet: Table 4

    Article Snippet: Equivalent plots for the SVM are shown in supplementary figure 10 . fig ft0 fig mode=article f1 Fig. 10 caption a4 caption a8 Mean HMM decoding rates decomposed into true positive rates for each finger For the classification of one feature sequence including all T samples the HMM Matlab implementation took on average (3.522 +/− 0.036) ms and the SVM implementation in C (0.0281 +/− 0.0034) ms.

    Techniques: