1. Bayes Net Structure Consider two Bayesian networks: A B C D B A C D If each variable can take 5 different values, what is the minimum number of parameters needed to represent the conditional probabilities of each Bayesian network? (Hint: P(A) on the left requires only four parameters, since the fifth, P(A = 5) = 1-P(A = 1)-P(A =
1. Bayes Net Structure Consider two Bayesian networks: A B C D B A C D If each variable can take 5 different values, what is the minimum number of parameters needed to represent the conditional probabilities of each Bayesian network? (Hint: P(A) on the left requires only four parameters, since the fifth, P(A = 5) = 1-P(A = 1)-P(A =
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![1. Bayes Net Structure Consider two Bayesian networks:
B
A
C D
B
A
C D
If each variable can take 5 different values, what is the minimum number of parameters needed to
represent the conditional probabilities of each Bayesian network?
(Hint: P(A) on the left requires only four parameters, since the fifth, P(A = 5) = 1-P(A= 1)-P(A =
2) - P(A=3) - P(A = 4), can be recovered from the other four.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F672bf286-8abe-4b07-9ca1-0d5b2612956c%2F4af9bc3f-6c1f-4776-b277-364bd4fc1efd%2Fcfg6275_processed.png&w=3840&q=75)
Transcribed Image Text:1. Bayes Net Structure Consider two Bayesian networks:
B
A
C D
B
A
C D
If each variable can take 5 different values, what is the minimum number of parameters needed to
represent the conditional probabilities of each Bayesian network?
(Hint: P(A) on the left requires only four parameters, since the fifth, P(A = 5) = 1-P(A= 1)-P(A =
2) - P(A=3) - P(A = 4), can be recovered from the other four.)
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