Edit: Generalization error vs. marginal likelihood (#10)

The paragraph renamed from Bayes free energy vs. generalization loss

prml_errata.tex

@@ -1994,11 +1994,12 @@ \subsubsection*{#1}
 Bayesian model comparison to work;
 see the discussion around (3.73).
 
-\parhead{Bayes free energy vs.\ generalization loss}
+\parhead{Generalization error vs.\ marginal likelihood}
 Moreover, one should also be aware of a subtlety that
-(i)~the \emph{marginal likelihood},
-which is used in the Bayesian model comparison framework (see Section~3.4), and
-(ii)~the \emph{generalization error}, which can be estimated by cross-validation (Section~3.2),
+(i)~the \emph{generalization error},
+which can be estimated by cross-validation (Section~3.2), and
+(ii)~the \emph{marginal likelihood},
+which is used in the Bayesian model comparison framework (Section~3.4),
 are closely related but different criteria for assessing model complexity,
 although, in practice, a higher marginal likelihood often tends to imply
 a lower generalization error and vice versa.