[Computer-go] CLOP and BOOL Parameters

[Rémi Coulom]

Thanks for the link. I tried to read the manual. The table of content has a promising entry:
7.23 Maximizing or minimizing a function of several variables
But there is no such entry in the text! I'd be curious if anybody knows where this mysterious section is hidden.

Also, gosset is limited to polynomial regression. For binary outcomes, logistic regression is really better. But optimal design for logistic regression is a bit complicated, and not supported by gosset. Anyway, I spent a lot of time studying optimal design theory when developing CLOP. My feeling is that it does not work. This is the relevant paragraph in my paper:

The next sample is chosen at random (using Gibbs sampling) by using $w$ as a
probability density. The theory of optimal design offers many alternatives
\cite{Chaloner-1989a,FackleFornius-2008a}, but sampling according to $w$
outperformed them in experiments. A problem with optimal design is that it
assumes that the model perfectly fits the data, which is always wrong in
practice. Even when lack of fit is taken into consideration~\cite{Wiens-2010a},
these algorithms take samples near the edge of the sampling domain. Samples
near the edge are rapidly discarded when the domain is shrinking. It might be
possible to do better, but sampling according to $w$ is simple and works well.

Rémi

On 4 janv. 2012, at 12:40, steve uurtamo wrote:

> there exists a general tool for doing things like this:
> 
> http://www2.research.att.com/~njas/gosset/index.html
> 
> you can optimize over discrete parameters, continuous parameters,
> etc., by describing them, generating the experiments, and iterating.
> it's not simply an optimization tool, so requires more hands-on work,
> but it's quite good.
> 
> s.
> 
> On Wed, Jan 4, 2012 at 2:42 AM, Rémi Coulom <Remi.Coulom at free.fr> wrote:
>> You can have a bounded integer parameter. For instance:
>> IntegerParameter my_parameter 0 1
>> 
>> CLOP may not be the most efficient approach to tuning boolean parameters, because it makes little sense to do quadratic regression over boolean parameters. But it should work.
>> 
>> Rémi
>> 
>> On 4 janv. 2012, at 10:34, ds wrote:
>> 
>>> Hello,
>>> 
>>> I had a first look at CLOP and it seems really easy to use. Great!
>>> 
>>> One question arises: Can I add bool Parameters, e.g. to enable playout
>>> features or must I change them by hand?
>>> 
>>> Thanks a lot
>>> 
>>> Detlef
>>> 
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