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svm radial basis function kernel  (MathWorks Inc)


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    MathWorks Inc svm radial basis function kernel
    Svm Radial Basis Function Kernel, 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/radial+basis+function+kernel/pm39562628-98-6-12
    Average 90 stars, based on 1 article reviews
    svm radial basis function kernel - by Bioz Stars, 2026-09
    90/100 stars

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    Control:

    Article Title: Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects
    Article Snippet: .. Model 2 , Individuals With Specific Substance Dependences Compared With Nondependent Control Subjects: Left and Right Hemisphere Regions of Interest That Exhibited Lower Subcortical Volume or Cortical Thickness in a Mega-Analysis of Gray Matter Volume in Substance Dependence a Support Vector Machine Classification Support vector machine classification was implemented in MATLAB (MathWorks, Natick, Mass.) with a radial basis function kernel, tuned by parameter sweep in a 10-fold inner loop nested within an optimized split-half cross-validation ( 32 ) (for details, see the Supplemental Methods section in the online supplement). ..

    Plasmid Preparation:

    Article Title: Diminished prospective mental representations of reward mediate reward learning strategies among youth with internalizing symptoms
    Article Snippet: .. Support vector machines (SVM), using a radial basis function kernel implemented in Matlab through libsvm (Chang & Lin, 2011), were used to decode reward outcomes (binary classification). ..

    Article Title: Decoding threat neurocircuitry representations during traumatic memory recall in PTSD.
    Article Snippet: The neurocircuitry mechanisms underlying recall of traumatic memories remain unclear.. This study investigated whether traumatic memory recall engages neurocircuitry representations that mirror activity patterns engaged during generalized threat stimulus processing in Post Traumatic Stress Disorder (PTSD).. Multivariate pattern analysis was used to train 3 decoders.



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    Details of tuning parameters and settings of the optimal models for WQI predicting.

    Journal: Heliyon

    Article Title: Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

    doi: 10.1016/j.heliyon.2024.e33695

    Figure Lengend Snippet: Details of tuning parameters and settings of the optimal models for WQI predicting.

    Article Snippet: SVM , radial basis function kernel, sigma = 0.152, C = 1.

    Techniques: