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svms with matlab's fitcsvm function  (MathWorks Inc)


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    MathWorks Inc svms with matlab's fitcsvm function
    Svms With Matlab's Fitcsvm Function, 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/fitcsvm+function/pm40544913-211-2-4
    Average 90 stars, based on 1 article reviews
    svms with matlab's fitcsvm function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Resolving conflicting interpretations: Theta band oscillations and the role of cognitive control.
    Article Snippet: While processing language, readers and listeners frequently encounter conflicting cues and must select the most plausible interpretation from incompatible alternatives.. We tested the hypothesis that cognitive control aids in resolving representational conflicts by biasing processing toward the correct interpretation when multiple analyses of linguistic input are possible.. Participants read temporarily ambiguous sentences alongside semantically and syntactically anomalous sentences.

    Article Title: Informatic application to characterise and identify small mammal species: Arvicolinae (Cricetidae, Rodentia, Mammalia)
    Article Snippet: Under Matlab there is a group of functions dealing with SVMs.

    Article Title: Fault Diagnosis of a Centrifugal Pump Using Electrical Signature Analysis and Support Vector Machine
    Article Snippet: Purpose Early detection of impending faults in centrifugal pumps could lower the repair and maintenance costs.. Electrical Signature Analysis (ESA) is a powerful tool which uses the voltage and current signals of the motor driving the pump to infer the health status.. In this study, we strive to develop an ESA-based algorithm to perform fault diagnosis for a centrifugal pump.

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    Article Title: Iowa Brain-Behavior Modeling Toolkit: An Open-Source MATLAB Tool for Inferential and Predictive Modeling of Imaging-Behavior and Lesion-Deficit Relationships.
    Article Snippet: .. Hyper- parameters in multivariate models are variables that control model behavior and that must be pre- specified before training the model. For PLS approaches, hyper- parameters correspond to the number of PLS components used to fit the model. For SVMs, they correspond to the BoxConstraint, KernelScale, and (for SVR) epsilon parameters (see MATLAB fitrsvm()/fitcsvm() documentation). ..



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