9 – Conditional Independence
I want to use a few words of terminology. This again is a Bayes network of which the hidden variable C causes the still stochastic test outcomes T1 and T2. And what’s really important is that we assume not just that T1 and T2 are identically distributed. It is the same 0.9 for test one … Read more
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