Suppose we have the Bayesian network for parameter learning in Figure 4.6 (b), and we have the following data:

Case X Y Z 1 Xl y2 Zl 2 Xl yl z2 3 x2 yl zx 4 x2 y2 Zl 5 Xl Y2 Zl 6 X2 Y2 Z2 7 Xl Y2 z~

8 x2 Yl z2 9 x~ y2 Zl 10 Xl yl Zl

. . . .

Determine the updated Bayesian network for parameter learning.