CS 451 Quiz 15
SVMs, Kernels
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Support vector machines are also know as *
1 point
In the context of SVMs, "margin" refers to *
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If we have data that is not linearly separable, then SVMs *
1 point
The maximum value of the Gaussian kernel is 1 *
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Which Gaussian kernel has a narrower ("sharper") peak? *
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It is important to perform feature normalization before using the Gaussian kernel *
1 point
Gaussian kernels measure the ________ between feature x and landmark l(i) *
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For SVMs employing kernels, how are the "landmarks" chosen? *
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A SVM with a linear kernel is the same as an SVM with no kernel *
1 point
What is a good "regime" for SVMs with Gaussian kernels (where N = number of features and M = number of training examples)? *
1 point
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