* sapphirebrand2000 ([EMAIL PROTECTED]) [070511 12:38]: > I must refrain from a definite opinion, since I cannot devote the > time necessary to studying this issue. But: perhaps you are better > off using Basic, or Maven's values or something, along with a V/C > balance adjustment.
One might be able to improve on this somewhat. The goal is to come up with a simple model for approximating rack leave values that involves a small amount of memorization (preprocessing phase) plus a small amount of in-the-head arithmetic (query phase). I don't want to propose any particular model, but it seems that the way to go about it would be to learn the parameters of the model from quackle's data, basically treating quackle's "superleave" values as the "correct" ones. Sounds like a machine learning problem to me. Perhaps someone with solid machine learning background (not me) can suggest a suitable off-the-shelf algorithm to create a concise model. For starters, it might be worthing learning the "correct" parameters for an ACBot-style model. ACBot has values for each possible number of occurrences of each tile, plus a matrix of V/C mix values. -AC
