<p>I think one potential difficulty is that the one that references <em>Pattern Recognition and Machine Learning</em>* seems to be dealing with a different intent than the other two questions.</p>

<p>*(presumably Bishop's book, though it's not the only one by that title)</p>

<p>Specifically, the two questions that are already duplicates seem to be specifically dealing with what I'd have called a hyperparameter, but Bishop is using it for what I'd call a regularization parameter or a tuning parameter and for which I usually wouldn't say "hyperparameter" unless it was cast as a parameter in a hierarchy (e.g. if it was cast in a Bayesian framework, you might be able to make it a parameter of a distribution from which observation parameters were drawn).</p>

<p>It is this difference that made me hesitate to merge them; I think the differences in the usage makes good answers to the other questions poor answers to that question on Bishop's use of the term.</p>

<p>If we rewrote the question the answers were merged into, or edited some of the  answers, we might be able to make it work tolerably well. An alternative (and perhaps a better one) would be to link the questions (perhaps noting the difference).</p>
