QUESTION 19 From the choices below, select the equation that shows how to compute an entry from the full joint probability distribution of the variables in a Bayesian network. P(x₁,...,xn) = {"=1 P(x₁ | parents(X;)) OP(x1₁,...,xn) =^=₁ P(xi | parents(X;)) OP(x1,...,xn) = {i=1 P(X₁| Parents(X;)) OP(x₁,...,xn) = "=1 P(X₁| Parents(X;))
QUESTION 19 From the choices below, select the equation that shows how to compute an entry from the full joint probability distribution of the variables in a Bayesian network. P(x₁,...,xn) = {"=1 P(x₁ | parents(X;)) OP(x1₁,...,xn) =^=₁ P(xi | parents(X;)) OP(x1,...,xn) = {i=1 P(X₁| Parents(X;)) OP(x₁,...,xn) = "=1 P(X₁| Parents(X;))
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...
Related questions
Question
100%
Please answer in 10 min.....I will rate for you sure.
Transcribed Image Text:QUESTION 19
From the choices below, select the equation that shows how to compute an entry from the full joint probability distribution of the
variables in a Bayesian network.
O P(x1,...,xn) = {i=1 P(x₁ | parents(X;))
P(x₁,...,xn) = "=1 P(x₁ | parents(X;))
P(x1,...,xn) = {n-1 P(X₁| Parents(X;))
OP(x₁,...,xn) = ¹=1 P(X₁| Parents(X;))
QUESTION 20
From the choices below, select the equation that shows how to perform exact inference (answer queries) using the distribution
encoded in a Bayesian network.
P(X| e) = α Пy Σ₁-1 P(x;| parents(X₁)
P(X | е) = α ¹у П²-₁ P(x¡ | parents(X;)
P(X | e) = α y Пn-1 P(x;| parents(X;)
P(X | e) = a Ey Σ" i=1 P(xi| parents(X₁)
QUESTION 21
Is exact inference using this equation computationally tractable? Select the best answer.
O No, because there are an exponential number of combinations of values for the hidden variables, and there are O(n) such
variables in the worst case.
O Yes, because we are summing over the hidden variables.
O No, because there are n variables and there are an exponential number of combinations of values for those variables.
O No, because there are an exponential number of terms from the network in the expression for the product, in the worst
case.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY