For the simplest kernel classification rule, what choices of the smoothing parameter h are analogous to selecting kn 1 and kn n, respectively, in the nearest neighbor rule What happens to the error i...

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For the simplest kernel classification rule, what choices of the smoothing parameter h are analogous to selecting kn 1 and kn n, respectively, in the nearest neighbor rule What happens to the error in these extreme cases ...

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For the simplest kernel classification rule, what choices of the smoothing parameter h are analogous to selecting

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An Elementary Introduction To Statistical Learning Theory