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 =
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 16E: Consumer Preference In a population of 100,000 consumers, there are 20,000 users of Brand A, 30,000...
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