Question

What are some kernels to use with support vector machines? How would you go about choosing which one to use, i.e. explain which situations would be appropriate for each.  

Answer 1

Solution:

Some of the kernels with support vector machines are:

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• Polynomial kernel: Known for image processing

• Gaussian kernel: It is general-purpose kernel; used when there is no prior knowledge about the data.

• Laplace RBF kernel: It is general-purpose kernel; used when there is no prior knowledge about the data.