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Classification is
intrinsically non-linear
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It
puts non-identical things in the same class, so a
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difference
in the input vector sometimes causes zero
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change
in the answer (what does
this show?)
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“Linear
classification” means that the part that adapts is
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linear
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The
adaptive part is followed by a fixed non-linearity.
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It
may also be preceded by a fixed non-linearity (e.g.
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nonlinear
basis functions).
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