Computer Science, asked by cgopi785, 1 year ago

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


kailash2015aravind: true

Answers

Answered by Anonymous
5

Hey there!


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

(a) True

(b) False


Answer : True


-- Bayesian Network (BN) is a graphical model or structures that efficiently encodes the joint probability distribution for a large set of variables or in other words, it is a type of graphical model which is used to represent the probabilistic relationship or conditional dependencies among a set of random variables.

-- It is also called Belief Networks or Bayes Nets.

Answered by Arslankincsem
0

The statement given in the question, that is, Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables is:


True


A joint probability distribution is a collection of random variables that can be represented in terms of a Bayesian network with possible mutual causal relationship.


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