t>@infExact</tt> with <tt>@infEP</tt>. You
  get exactly identical results, why?
<dt><strong>Mean or Covariance</strong>
<dd>Try training a GP where the affine
part of the function is captured by the <em>covariance function</em>
instead of the <em>mean function</em>. That is, use a GP with no
explicit mean function, but further additive contributions to the
covariance. How would you expect the marginal likelihood to compare to
the previous case?
</dl>


<h3>Classification</h3>

<p>You can either follow the 