artificial intelligence - Simple Bayesian Network causal independence -
Enter the code here I'm trying to answer:
p (a) = 0.5
p (b | a = t) = 0.7
then p (a | b) =?
Thank you!
You apply the first bayus rule and you receive:
P (A | B) = P (A) * P (B | A) / P (B) ( (A) * P (B | A) / (sum_ {a} p (b) * p (a)) By using this formula you can easily ease the P Can calculate (A = A | B = B).
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