Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables .
A) True
B) False
Answers
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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.
The statement "Bayesian Network is a graphical model that efficiently encodes the joint probability distribution for a large set of variables" is completely True.
Bayesian networks are also known as Belief Networks or in short BNs.
They have a much more complex sense of independence. It also takes into account the directionality of the arcs.