The next two questions refer to the following belief network with random variables F0,F1,…,F4 which only take the values 0 and 1. Which of the following statements are true about this belief network (1), (3) and (4) only : (1) F0 and F3 are independent given F1,F2 ; (2) F0 and F2 are independent; (3) P(F0∣F1,F2)=P(F0∣F1,F2,F3,F4) ; (4) F0 and F4 are independent. In general, to define the joint probability distribution P(F0,…,F4) one requires up to 25−1 entries in the table of probabilities. For the belief network above, one can compute the joint probability distribution P(F0,…,F4) using the following number of conditional probabilities
The next two questions refer to the following belief network with random variables F0,F1,…,F4 which only take the values 0 and 1. Which of the following statements are true about this belief network (1), (3) and (4) only : (1) F0 and F3 are independent given F1,F2 ; (2) F0 and F2 are independent; (3) P(F0∣F1,F2)=P(F0∣F1,F2,F3,F4) ; (4) F0 and F4 are independent. In general, to define the joint probability distribution P(F0,…,F4) one requires up to 25−1 entries in the table of probabilities. For the belief network above, one can compute the joint probability distribution P(F0,…,F4) using the following number of conditional probabilities
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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The next two questions refer to the following belief network with random variables
F0,F1,…,F4 which only take the values 0 and 1.
Which of the following statements are true about this belief network (1), (3) and (4) only :
(1) F0 and F3 are independent given F1,F2 ;
(2) F0 and F2 are independent;
(3) P(F0∣F1,F2)=P(F0∣F1,F2,F3,F4) ;
(4) F0 and F4 are independent.
In general, to define the joint probability distribution P(F0,…,F4) one requires up to 25−1 entries in the table of probabilities. For the belief network above, one can compute the joint probability distribution P(F0,…,F4) using the following number of conditional probabilities
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