COMPSCI 171 Quiz: 2014-wq-cs-171-quiz-4-key
Document Summary
P(h | d) = p(h d) / p(d) Quiz#4 winter quarter, 2014 20 minutes. : seat no: (5 pts) definition of conditional probability. Write down the definition of p(h | d) in terms of p(h), p(d), p(h d), and p(h d): (5 pts) bayes" rule. Write down the result of applying bayes" rule to p(h | d): (15 pts) bayesian networks. Draw the bayesian network that corresponds to this factored conditional probability expression. Draw left-to-right, i. e. , put a and b on the left, g and h on the right. P(h | d) = p(d | h) p(h) / [ p(d | h) p(h) + p(d | h) p( h) ] P(h | d) = p(d | h) p(h) / p(d) Shown below is a bayesian network and its probability tables. 4. a. (15 pts) write the factored conditional probability expression that corresponds to this network: