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This is not the
right thing to do and it doesn’t work as
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well as better
methods, but it is easy:
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It reduces classification to least squares
regression.
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We already know how to do regression. We
can just
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solve
for the optimal weights with some matrix
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algebra
(see lecture 2).
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We use targets
that are equal to the conditional
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probability of
the class given the input.
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When there are more than two classes, we
treat each
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class
as a separate problem (we cannot get away with this
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if
we use the “max” decision function).
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