Hi!
On Tue, Feb 11, 2014 at 11:42:24AM -0800, Peter Drake wrote:
> A naive question:
>
> In what situations is it better to use Coulom's Elo method vs his CLOP
> method for setting parameters? It seems they are both techniques for
> optimizing a high-dimensional, noisy function.
Do you mean minorization-maximization? I'm not sure if it could be
adapted for optimizing a black-box function sensibly. Moreover, it might
not deal well with noisy observations.
But most importantly, it can optimize a function on presampled data,
while CLOP will perform the sampling itself in order to enhance the fit
of the quadratic model.
P.S.: I don't understand the details of minorization-maximization so
maybe I'm wildly off in something.
Petr "Pasky" Baudis
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