Sökning: "Andreas Sjödin Hällstrand"

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  1. 1. Bilinear Gaussian Radial Basis Function Networks for classification of repeated measurements

    Master-uppsats, Linköpings universitet/Matematisk statistik; Linköpings universitet/Tekniska fakulteten

    Författare :Andreas Sjödin Hällstrand; [2020]
    Nyckelord :Bilinear Regression; Classification; Supervised Learning; High Dimensional Statistics; Growth Curve Model; Regularization; Radial Basis;

    Sammanfattning : The Growth Curve Model is a bilinear statistical model which can be used to analyse several groups of repeated measurements. Normally the Growth Curve Model is defined in such a way that the permitted sampling frequency of the repeated measurement is limited by the number of observed individuals in the data set. LÄS MER