Question

Q)What is the value obtained on marginalizing all the variables in a graphical model?
a. Depends on the model
b. Some value less than 1
c.1
d.Some value greater than 1

Answer 1

Answer:

it's depends on modal

Explanation:

in some questions doesn't have value I think that it's depends on modal

Answer 2

The value obtained on marginalizing all the variables in a graphical model is 1

Option (c)

Explanation:

• Marginalization is a process that needs summing over the possible values of one variable to determine the marginal contribution of others.
• A graphical model alias probabilistic graphical model (PGM) alias structured probabilistic model is a probabilistic model for which a graph signifies the conditional dependence structure between 'random variables'.
• The 'graphical model' symbolizes a 'probability distribution' which should and will sum up to 1. They are usually used in 'probability theory', and machine learning.

To know more

Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables .

A) True

B) False

https://brainly.in/question/5832720

Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables is it true or false?

https://brainly.in/question/5867519