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Hinton and van Camp
minimize the sum of
the first is conventional error plus variance, the other
is the distance
and prior .
The problem is
to choose a ``good'' prior.
In contrast to their approach, our approach
does not require a ``good'' prior given in advance.
Furthermore, Hinton and van Camp
have to compute variances of weights and units,
which (in general) cannot be done using linear approximation.
Intuitively speaking, their weight variances are related to our
Our approach, however, does justify linear approximation.
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