On Dec 12, 2007 2:59 PM, Rémi Coulom <[EMAIL PROTECTED]> wrote: > > Do you mean a plot of the prediction rate with only the > > gamma of interest varying? > > No the prediction rate, but the probability of the training data. More > precisely, the logarithm of that probability.
I still don't know what you mean by this. > If you have P(x)=A*exp(-x²/2sigma²), then log(P(x))=log(A)-x²/2sigma², > and d²(log(P(x)))/dx²=-1/sigma². This means that, for a Gaussian > probability distribution, the second-order derivative directly gives the > variance. For distributions that look similar to a Gaussian, the > second-order derivative is a good approximation. This part I understand
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