Noisy channel – independent variables Fully specified by P(X i ) and P(E i |X i ) Given E i =e i (evidence), we can infer the most likely state of X i by means of Bayes rule: P(X i |E i =e i ) = P(E i =e i |X i ) * P(X i ) / P(E i =e i ) This is independent on the other evidence E j =e j X1X1 X4X4 X3X3 X2X2 E1E1 E4E4 E3E3 E2E2 Noisy channel…