Question: 2. Let C = cloudy. S = sprinkler, R = rain, and W = wet grass. Use the Bayesian Network described below with P(C) =

2. Let C = cloudy. S = sprinkler, R = rain, and W = wet grass. Use the Bayesian Network described below with P(C) = 0.5 to calculate the probability of it raining given the grass is wet. Calculate the probability of the sprinkler being on given the grass is wet. (Note: to change into randora variables let F=0 and T=1. Often in CS literature however, T and F are used. @ a c 9:11:51 PIR=TJ / F DI Di 915:5] FIS=TJ D5 {)5 o 0.1 @ 1: 0.2 as S R PEW=FJ HW=TI F F LEI 0.0 T F 0.1 0.9 F T 0.1 0.9 T T DD]. {1.99 Answer problems 3 and 4 on quiz. 3. P(R'W) = 4. P(S|W) =

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