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Note that in the Gaussian Kernel there is a parameter: sigma, which represents the standard deviation. The SVM results are very sensitive to the selection of sigma. The purpose of this tutorial is to make a dataset linearly separable. But also remember that this does use the gaussian function as its kernel function not what we defined in the. Smoothing with Gaussian kernel. Follow 56 views (last 30 days) Show older comments. Beso Undilashvili on 6 Aug 2020. Vote. 0. ⋮ . Vote. 0. Subject_3_acc_walking_thigh.csv; Hello, folks! I'm trying to create a function which filters raw accelerometer data so that I could use it for Zero crossing. I know that MatLab has built-in functions.

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