totoro;180576 Wrote: 
> That isn't entirely true, actually. Substitute probability of being true
> for plausibility, and you've got something to work with. It's a pretty
> hot research topic these days. That's what Bayesian statistics is all
> about, and what other "machine learning" stuff is generally about (this
> is what I do for a living, so I feel on pretty solid ground on this
> one), and is also, AFAIK, the main thrust of "decision theory". 
> 
> If you're interested, here are some classic references:
> 
> Judea Pearl: Probabilistic Reasoning in Intelligent Systems
> http://www.amazon.com/Probabilistic-Reasoning-Intelligent-Systems-Plausible/dp/1558604790/sr=8-1/qid=1171477877/ref=sr_1_1/104-5904837-3949567?ie=UTF8&s=books
> 
> Pearl's new book on causation
> http://bayes.cs.ucla.edu/BOOK-2K/why.html
> 
> Hastie and Tibshirani: Elements of Statistical Learning
> http://www.amazon.com/Elements-Statistical-Learning-T-Hastie/dp/0387952845/sr=1-1/qid=1171477972/ref=pd_bbs_sr_1/104-5904837-3949567?ie=UTF8&s=books
> 
> Haven't read the new one on causality, but the other two are great: you
> basically need undergrad level engineering math to get through them.

In order to calculate probabilities you need some kind of measurable
targets. The problem with "plausability" in hifi is that there is
little agreement on what can and cannot be heard. But lets leave it at
that, because I can feel someone will now claim that there exists some
"authority" in audio research...


-- 
P Floding

No, I didn't ABX it. And I won't even if you ask me. (Especially not if
you ask me.)
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