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rbf (radial basis kernel) function  (MathWorks Inc)


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    MathWorks Inc rbf (radial basis kernel) function
    Rbf (Radial Basis Kernel) 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/radial+basis+function+kernel/pm40425716-125-4-15
    Average 90 stars, based on 1 article reviews
    rbf (radial basis kernel) function - 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). ..

    other:

    Article Title: Developing a framework for promoting physical activity in a Boccia game scenario
    Article Snippet: The traditional keyboard has been replaced by tactile screens or other types of implicit interfaces.. An example of such interface is the Microsoft Kinect system, which makes use of a depth sensing system to enable the user-machine interaction.. Allied to the physical activity, this hardware may be used to track and monitor the user when he/she is exercising, but also to diminish a sedentary lifestyle.

    Article Title: A reduced ability to discriminate social from non-social touch at the circuit level may underlie social avoidance in autism.
    Article Snippet: Decoding touch context from neuronal activity and behavior We used SVM linear classifiers (default parameters of fitcsvm in MATLAB 2023b, radial basis function kernel with box constraint parameter = 1 for every classifier and 10-fold cross-validation) to determine how well all neurons, or neurons within a particular cluster, could decode touch context (object vs. social presentations) under voluntaryor forced conditions.Weused activity from80%of trials (64/ 80 of both object and social touch trials) as the training dataset, and the remaining 20% (26/80) was used for testing the classifier’s accuracy.

    Plasmid Preparation:

    Article Title: Metabolic Changes in Brain Slices over Time: a Multiplatform Metabolomics Approach.
    Article Snippet: .. This intra-batch effect was addressed with a post-acquisition correction based on the QC support vector regression (QC-SVRC), and a radial basis function kernel using MATLAB (R2015a, MathWorks) [24]. ..

    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). ..



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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: