Sorry to hijack your post but this topic has been bugging me for a while: isn't "Texel's tuning method" just logistic regression that has been used in games for about twenty years (see Buro's papers for instance)?mvk wrote:Isn't the essence of this method exactly the same what everybody else has been doing now for a couple of years and which has become known as "Texel's tuning method"? (That is, a fit of the evaluation in the percentage domain against the game results?). The only real difference is that we use much larger data sets. All other differences seem not essential at first glance.
I don't see any difference between all three apart from QS vs. eval, which seems a minor issue to me. A single-neuron ANN is also the same.