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Bayes Nets D Separation Inference Some slides taken from previous 10701 recitations Observe that the grass is wet What is the probability that the Sprinkler was on Monte Carlo Sampling What is the probability that the sprinkler was on given that the grass is wet Sample C then S R and finally W many times Approximate P W P S W via counting Why D Separation Helps us understand the dependencies implied by a graph Helps us perform inference efficiently X Example 4 d sep Radio Gas Moves
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