Considering the following Bayesian network. It consists of four r.v. M, G, E and A; and four CPDS. M G +m M +g 0.8 0.2 +m M -m 0.1 G A +a E A 0.8 +g G +e -g 0.3 +g 0.7 E -g 0.1 Note: the signs +' and -' stand for True and False respectively. 1. Complete the missing information in each table. 2. Compute P(+m, +g, +e, +a)