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It seems like
cheating if the aim to show how
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powerful
learning is. The really hard bit is done
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by the
preprocessing.
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Its not cheating
if we learn the non-linear
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preprocessing.
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This
makes learning much more difficult and
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much
more interesting..
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Its not cheating
if we use a very big set of non-
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linear features
that is task-independent.
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Support Vector Machines make it possible to
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use
a huge number of features without
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requiring
much computation or data.
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